diff --git a/notebooks/Confirming Ablation Region.ipynb b/notebooks/Confirming Ablation Region.ipynb new file mode 100644 index 0000000..2a0cea5 --- /dev/null +++ b/notebooks/Confirming Ablation Region.ipynb @@ -0,0 +1,158 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Confirming the Anatomical Region of the Ablation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This workflow is used to confirm that the annotated post MRI mask was mapped to the correct space by the following steps:\n", + "\n", + "1. Manually annotate the ablation region on the post surgical MRI with Seg3D.\n", + "2. Use Slicer to orient the segmented MRI to freesurfer (FS) space.\n", + "3. Overlay the mask with the Desikan-Killany atlas and compare to clinical results.\n", + "4. Overlay the mask with electrode location and compare to clinical results. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Manual Annotation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We use Seg3D (https://github.com/SCIInstitute/Seg3D/releases) to manually segment the postsurgical MRI, which creates a binary mask of the ablation region. \n", + "\n", + "Note that the postsurgical MRI should be in FS space. If not, map it to FS space using FLIRT. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "flirt -in {ses-postsurgery_space-ACPC} -ref {ses-presurgery_space-fs} -out {ses-postsurgery_space-fs}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Mapping to FS Space" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Because Seg3D uses its own coordinate system, we need to map the mask to FS space. This can be done using the 'Resample Image (BRAINS)' function in Slicer (https://download.slicer.org/).\n", + "\n", + "Using the original postMRI (in FS space) as the reference image, we can map the mask to FS space. It may be a good idea to use an MRI viewer to ensure that the postMRI, the mask, and the reference atlas are all correctly aligned before moving on to the next step." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Overlay Mask with Atlas" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Freesurfer provides three different types of atlases: Desikan-Killiany, DKT, and Destrieux. We use Desikan-Killany. More information on atlases can be found here: https://surfer.nmr.mgh.harvard.edu/fswiki/CorticalParcellation.\n", + "\n", + "Freesurfer also provides a lookup table (LUT) that assigns a number to a certain brain region. The full table is documented here:https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/AnatomicalROI/FreeSurferColorLUT.\n", + "\n", + "Comparing the annotated voxels of the mask to the Desikan-Killany atlas, then finding the corresponding brain region in the Freesurfer LUT should give us a list of the brain regions that were ablated. This should match what was reported clinically." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Overlay Mask with Electrode Location" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are two ways we can overlay the mask with the electrodes:\n", + "1. Convert electrode locations to voxels\n", + "2. Convert mask to xyz coordinates" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Using Voxels" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can convert the electrode locations to voxels using the affine matrix of the presurgical MRI. Applying the inverse affine transformation then flooring the values will produce the voxels of where each electrode is located. \n", + "\n", + "Overlaying these numbers with the voxels of the mask produces a list of electrodes that were removed and the brain regions each electrode was associated with. This should match what was reported clinically. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Using XYZ Coordinates" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can convert the mask to xyz coordinates using the affine matrix of the postsurgical MRI. Applying the affine transformation will produce the xyz coordinates of the ablation region.\n", + "\n", + "Overlaying these numbers with the xyz coordinates of the electrode locations produces a list of electrodes that were removed and the brain regions each electrode was associated with. This should match what was reported clinically." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/notebooks/confirming_ablation_region.ipynb b/notebooks/confirming_ablation_region.ipynb new file mode 100644 index 0000000..4ac887a --- /dev/null +++ b/notebooks/confirming_ablation_region.ipynb @@ -0,0 +1,609 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Confirming the Anatomical Region of the Ablation Using Freesurfer LUT" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After annotating the ablation region of the post surgical MRI with Seg3D, we use Slicer to reorient the MRI from RAS to freesurfer (FS) space. Then on the mask, we overlay the Desikan-Killiany atlas provided by Freesurfer, matching each voxel to its corresponding brain region in the atlas. Comparing the resulting list of brain regions to what was clinically reported will allow us to confirm that the mask was mapped to the correct space. \n", + "\n", + "We will use la02 as an example." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# import modules\n", + "import os\n", + "import nibabel as nb\n", + "import numpy as np\n", + "import nrrd\n", + "import collections\n", + "from PIL import Image" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Freesurfer's lookup table (LUT) assigns a number to a certain brain region. The full table can be found here:\n", + "https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/AnatomicalROI/FreeSurferColorLUT" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading lookup table for freesurfer labels\n" + ] + } + ], + "source": [ + "# get labels using Freesurfer's lookup table (LUT)\n", + "fs_lut_fpath = \"C:\\\\Users\\\\d0156\\\\Dropbox\\\\bids_layout_data\\\\sub-la02\\\\FreeSurferColorLUT.txt\"\n", + "fid = open(fs_lut_fpath)\n", + "LUT = fid.readlines()\n", + "fid.close()\n", + "\n", + "# make dictionary of labels\n", + "LUT = [row.split() for row in LUT]\n", + "lab = {}\n", + "for row in LUT:\n", + " if (\n", + " len(row) > 1 and row[0][0] is not \"#\" and row[0][0] is not \"\\\\\"\n", + " ):\n", + " lname = row[1]\n", + " lab[np.int(row[0])] = lname\n", + "\n", + "print(\"Loading lookup table for freesurfer labels\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Freesurfer provides three different types of atlases: Desikan-Killiany, DKT, and Destrieux. The three are trained in different ways, but in general, an atlas is a model of the cortical surface based on probabilistic information estimated from a manually labeled training set. For more information, visit\n", + "https://surfer.nmr.mgh.harvard.edu/fswiki/CorticalParcellation" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading atlas\n" + ] + } + ], + "source": [ + "# assuming atlas type is desikan-killiany\n", + "depth_atlas_suffix = \"\"\n", + "mri_dir = \"C:\\\\Users\\\\d0156\\\\Dropbox\\\\bids_layout_data\\\\la02\\\\mri\"\n", + "\n", + "# load in ASEG image file from atlas\n", + "aseg_fpath = os.path.join(mri_dir, \"aparc%s+aseg.mgz\" % (depth_atlas_suffix))\n", + "depth_atlas_img = nb.freesurfer.load(aseg_fpath)\n", + "aparc_dat = depth_atlas_img.get_fdata()\n", + "\n", + "print(\"Loading atlas\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After annotating the ablation in Seg3D and mapping the mask to FS space using Slicer, we index the annotated voxels of the mask. " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading mask\n", + "[[132 108 187]\n", + " [132 108 188]\n", + " [132 109 185]\n", + " ...\n", + " [147 116 183]\n", + " [147 116 184]\n", + " [147 116 185]]\n", + "Loading mask index\n" + ] + } + ], + "source": [ + "# load mask image\n", + "mask_dir = \"C:\\\\Users\\\\d0156\\\\Dropbox\\\\bids_layout_data\\\\sub-la02\\\\test\"\n", + "mask_fpath = os.path.join(mask_dir, \"sub-la02_ses-postsurgery_proc-slicer.nii\")\n", + "mask_img = nb.load(mask_fpath)\n", + "mask_data = mask_img.get_fdata()\n", + "\n", + "print(\"Loading mask\")\n", + "\n", + "# determine where mask is\n", + "mask_indx = np.argwhere(mask_data)\n", + "print(mask_indx)\n", + "print(\"Loading mask index\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We overlay the annotated voxels with the atlas and the LUT, which gives us a list of brain regions within the mask. This should be similar to what was reported clinically. " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading brain regions in mask\n", + "Brain regions in mask: \n", + "['ctx-lh-superiorfrontal', 'Left-Cerebral-White-Matter', 'WM-hypointensities', 'ctx-lh-rostralmiddlefrontal']\n" + ] + } + ], + "source": [ + "# determine list of brain regions in mask\n", + "aparc_indx = []\n", + "for i in range(len(mask_indx)):\n", + " aparc_indx.append(aparc_dat[mask_indx[i][0], mask_indx[i][1], mask_indx[i][2]])\n", + "\n", + "regions = []\n", + "for i in range(len(aparc_indx)):\n", + " if (aparc_indx[i] != 0) and (lab[aparc_indx[i]] not in regions):\n", + " regions.append(lab[aparc_indx[i]])\n", + "\n", + "print(\"Loading brain regions in mask\")\n", + "\n", + "print(\"Brain regions in mask: \")\n", + "print(regions)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, let's compare the mask with the location of the electrodes. " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def _from_tsv(fname, dtypes=None):\n", + " \"\"\"Read a tsv file into an OrderedDict.\n", + " Parameters\n", + " ----------\n", + " fname : str\n", + " Path to the file being loaded.\n", + " dtypes : list, optional\n", + " List of types to cast the values loaded as. This is specified column by\n", + " column.\n", + " Defaults to None. In this case all the data is loaded as strings.\n", + " Returns\n", + " -------\n", + " data_dict : collections.OrderedDict\n", + " Keys are the column names, and values are the column data.\n", + " \"\"\"\n", + " data = np.loadtxt(fname, dtype=str, delimiter='\\t',\n", + " comments=None, encoding='utf-8')\n", + " column_names = data[0, :]\n", + " info = data[1:, :]\n", + " data_dict = collections.OrderedDict()\n", + " if dtypes is None:\n", + " dtypes = [str] * info.shape[1]\n", + " if not isinstance(dtypes, (list, tuple)):\n", + " dtypes = [dtypes] * info.shape[1]\n", + " if not len(dtypes) == info.shape[1]:\n", + " raise ValueError('dtypes length mismatch. Provided: {0}, '\n", + " 'Expected: {1}'.format(len(dtypes), info.shape[1]))\n", + " for i, name in enumerate(column_names):\n", + " data_dict[name] = info[:, i].astype(dtypes[i]).tolist()\n", + " return data_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(256, 256, 256)\n", + "Loading mask\n", + "(729, 3)\n", + "(2140, 3)\n", + "Loading mask index\n", + "[[-9.99999940e-01 0.00000000e+00 0.00000000e+00 1.26817993e+02]\n", + " [ 0.00000000e+00 -1.49011612e-08 1.00000000e+00 -1.21573318e+02]\n", + " [ 0.00000000e+00 -1.00000000e+00 0.00000000e+00 1.59645630e+02]\n", + " [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00]]\n", + "[[-9.99999932e-01 2.61643042e-04 -2.61643042e-04 1.26817993e+02]\n", + " [-2.61643042e-04 3.42285418e-08 9.99999966e-01 -1.21573318e+02]\n", + " [-2.61643042e-04 -9.99999966e-01 -3.42285418e-08 1.59645630e+02]\n", + " [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00]]\n" + ] + } + ], + "source": [ + "# load mask image (filled) \n", + "mask_fill_dir = \"C:\\\\Users\\\\d0156\\\\Dropbox\\\\bids_layout_data\\\\sub-la02\"\n", + "mask_fill_fpath = os.path.join(mask_fill_dir, \"sub-la02_ses-postsurgery_proc-slicerfillaxial.nii.gz\")\n", + "mask_fill_img = nb.load(mask_fill_fpath)\n", + "mask_fill_data = mask_fill_img.get_fdata()\n", + "\n", + "print(mask_fill_data.shape)\n", + "print(\"Loading mask\")\n", + "\n", + "# determine where mask is\n", + "mask_fill_indx = np.argwhere(mask_fill_data)\n", + "print(mask_indx.shape)\n", + "print(mask_fill_indx.shape)\n", + "print(\"Loading mask index\")\n", + "\n", + "mask_fill_aff = mask_fill_img.affine\n", + "\n", + "# load pret1 image\n", + "pret1_fpath = \"C:\\\\Users\\\\d0156\\\\Dropbox\\\\bids_layout_data\\\\sub-la02\\\\test\\\\sub-la02_ses-presurgery_space-fs_T1w.nii\"\n", + "pret1_img = nb.load(pret1_fpath)\n", + "pret1_aff = pret1_img.affine\n", + "print(pret1_aff)\n", + "print(mask_fill_aff)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# read electrode locations\n", + "pre = _from_tsv(\"C:\\\\Users\\\\d0156\\\\Johns Hopkins\\\\Adam Li - epilepsy_bids\\\\sub-la02\\\\ses-presurgery\\\\ieeg\\\\sub-la02_ses-presurgery_acq-seeg_space-fs_electrodes.tsv\")\n", + "\n", + "keys = list(pre.keys())\n", + "values = list(pre.values())\n", + "coords = [[] for c in range(len(values[0]))]\n", + "\n", + "for i in range(len(values[0])):\n", + " for j in range(len(keys)):\n", + " coords[i].append(values[j][i])\n", + "\n", + "elec_coords = np.zeros((len(coords), 3))\n", + "\n", + "for i in range(len(coords)):\n", + " for j in range(3):\n", + " elec_coords[i][j] = float(coords[i][j+1])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[128. 124. 188.]\n", + " [131. 124. 190.]\n", + " [134. 124. 189.]\n", + " [137. 123. 189.]\n", + " [141. 123. 190.]\n", + " [144. 123. 190.]\n", + " [148. 123. 191.]\n", + " [152. 123. 192.]\n", + " [162. 122. 193.]\n", + " [166. 122. 194.]\n", + " [168. 122. 194.]\n", + " [172. 121. 195.]\n", + " [127. 104. 177.]\n", + " [130. 103. 177.]\n", + " [133. 102. 177.]\n", + " [136. 101. 177.]\n", + " [140. 100. 178.]\n", + " [143. 100. 178.]\n", + " [147. 99. 179.]\n", + " [155. 122. 192.]\n", + " [158. 122. 193.]\n", + " [151. 98. 179.]\n", + " [153. 98. 180.]\n", + " [157. 97. 180.]\n", + " [161. 96. 180.]\n", + " [165. 95. 181.]\n", + " [126. 138. 185.]\n", + " [130. 138. 186.]\n", + " [134. 138. 187.]\n", + " [137. 138. 187.]\n", + " [141. 138. 187.]\n", + " [144. 138. 187.]\n", + " [148. 138. 187.]\n", + " [151. 137. 188.]\n", + " [155. 138. 189.]\n", + " [158. 138. 189.]\n", + " [162. 138. 190.]\n", + " [165. 138. 191.]\n", + " [169. 138. 191.]\n", + " [172. 138. 191.]\n", + " [129. 154. 165.]\n", + " [133. 153. 166.]\n", + " [137. 152. 166.]\n", + " [140. 152. 167.]\n", + " [143. 151. 168.]\n", + " [147. 150. 168.]\n", + " [150. 149. 168.]\n", + " [153. 149. 169.]\n", + " [157. 148. 169.]\n", + " [160. 147. 169.]\n", + " [164. 146. 170.]\n", + " [167. 146. 170.]\n", + " [170. 145. 171.]\n", + " [174. 144. 171.]\n", + " [178. 144. 171.]\n", + " [179. 144. 171.]\n", + " [127. 124. 175.]\n", + " [130. 124. 175.]\n", + " [133. 124. 177.]\n", + " [137. 124. 177.]\n", + " [140. 124. 178.]\n", + " [144. 123. 178.]\n", + " [147. 123. 178.]\n", + " [151. 123. 178.]\n", + " [154. 123. 179.]\n", + " [158. 123. 179.]\n", + " [161. 123. 180.]\n", + " [165. 123. 180.]\n", + " [168. 123. 180.]\n", + " [171. 123. 181.]\n", + " [176. 123. 181.]\n", + " [178. 123. 182.]\n", + " [127. 109. 150.]\n", + " [129. 108. 150.]\n", + " [133. 106. 150.]\n", + " [137. 105. 151.]\n", + " [141. 104. 151.]\n", + " [144. 103. 151.]\n", + " [147. 102. 151.]\n", + " [150. 101. 152.]\n", + " [154. 99. 152.]\n", + " [157. 98. 152.]\n", + " [159. 97. 152.]\n", + " [163. 96. 153.]\n", + " [167. 95. 153.]\n", + " [170. 94. 154.]\n", + " [173. 93. 154.]\n", + " [177. 92. 154.]]\n", + "[[130 113 185]\n", + " [131 111 182]\n", + " [131 111 183]\n", + " ...\n", + " [148 112 182]\n", + " [148 112 183]\n", + " [148 112 184]]\n", + "[\"L'2\", \"L'3\", \"L'4\", \"G'4\", \"G'5\", \"L'5\", \"G'6\", \"L'6\", \"G'7\"]\n", + "['ctx-lh-superiorfrontal', 'ctx-lh-superiorfrontal', 'Left-Cerebral-White-Matter', 'Unknown', 'Left-Cerebral-White-Matter', 'ctx-lh-superiorfrontal', 'Left-Cerebral-White-Matter', 'Left-Cerebral-White-Matter', 'Left-Cerebral-White-Matter']\n" + ] + } + ], + "source": [ + "### comparing voxels\n", + "\n", + "# convert xyz coordinates of electrodes to voxels of mask\n", + "elec_vox = np.round(nb.affines.apply_affine(np.linalg.inv(pret1_aff), elec_coords))\n", + "#elec_vox = np.round(nb.affines.apply_affine(np.linalg.inv(mask_fill_aff), elec_coords))\n", + "\n", + "print(elec_vox)\n", + "print(mask_fill_indx)\n", + "\n", + "# compare voxels of electrodes and mask to find overlapping regions (should match clinical results)\n", + "elecs = []\n", + "elecs_name = []\n", + "\n", + "for i in range(len(mask_fill_indx)):\n", + " for j in range(len(elec_vox)):\n", + " if (np.abs(elec_vox[j][0] - mask_fill_indx[i][0]) <= 1.) & (np.abs(elec_vox[j][1] - (mask_fill_indx[i][1]+10)) <= 1.) \\\n", + " & (np.abs(elec_vox[j][2] - mask_fill_indx[i][2]) <= 1.):\n", + " if (coords[j][0] not in elecs):\n", + " elecs.append(coords[j][0])\n", + " elecs_name.append(coords[j][5])\n", + "\n", + "print(elecs)\n", + "print(elecs_name)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[-1.0955760e+00 6.6539884e+01 3.5287211e+01]\n", + " [-3.8047780e+00 6.7947332e+01 3.5308774e+01]\n", + " [-7.3189440e+00 6.7799889e+01 3.5474825e+01]\n", + " [-1.0587486e+01 6.7266380e+01 3.6440106e+01]\n", + " [-1.3942345e+01 6.8679315e+01 3.6434484e+01]\n", + " [-1.7505318e+01 6.8924151e+01 3.6523733e+01]\n", + " [-2.1141346e+01 6.9575450e+01 3.6618872e+01]\n", + " [-2.4768636e+01 7.0216901e+01 3.6678147e+01]\n", + " [-3.5076995e+01 7.1398199e+01 3.7646456e+01]\n", + " [-3.8717799e+01 7.2429766e+01 3.7662103e+01]\n", + " [-4.1295015e+01 7.2632320e+01 3.7804739e+01]\n", + " [-4.5299609e+01 7.2962515e+01 3.8653796e+01]\n", + " [ 3.1036500e-01 5.5307639e+01 5.6059407e+01]\n", + " [-2.7794890e+00 5.5580637e+01 5.7002584e+01]\n", + " [-6.2322750e+00 5.5840585e+01 5.7364656e+01]\n", + " [-9.5363420e+00 5.5708765e+01 5.8360146e+01]\n", + " [-1.3145142e+01 5.6022641e+01 5.9303125e+01]\n", + " [-1.6482282e+01 5.6661112e+01 5.9521911e+01]\n", + " [-2.0069954e+01 5.7348006e+01 6.0408980e+01]\n", + " [-2.8123609e+01 7.0128234e+01 3.7574121e+01]\n", + " [-3.1415426e+01 7.1136879e+01 3.7578534e+01]\n", + " [-2.3744426e+01 5.7254204e+01 6.1382683e+01]\n", + " [-2.6677349e+01 5.8281536e+01 6.1560423e+01]\n", + " [-3.0366181e+01 5.8192371e+01 6.2593553e+01]\n", + " [-3.3968939e+01 5.8874767e+01 6.3507398e+01]\n", + " [-3.8102582e+01 5.9640912e+01 6.4751481e+01]\n", + " [ 8.6186200e-01 6.3898502e+01 2.1573020e+01]\n", + " [-3.3102590e+00 6.4571406e+01 2.1624713e+01]\n", + " [-6.6878590e+00 6.5592659e+01 2.1649191e+01]\n", + " [-1.0103678e+01 6.5049286e+01 2.1755192e+01]\n", + " [-1.3723719e+01 6.5693017e+01 2.1803671e+01]\n", + " [-1.7402136e+01 6.5135075e+01 2.1900789e+01]\n", + " [-2.1041273e+01 6.5785383e+01 2.1949461e+01]\n", + " [-2.4332869e+01 6.6843202e+01 2.2750460e+01]\n", + " [-2.8005797e+01 6.7427854e+01 2.1936957e+01]\n", + " [-3.1610378e+01 6.7660516e+01 2.1922215e+01]\n", + " [-3.4977180e+01 6.8303613e+01 2.1889212e+01]\n", + " [-3.8321770e+01 6.8941184e+01 2.1897649e+01]\n", + " [-4.2347067e+01 6.9579321e+01 2.2112220e+01]\n", + " [-4.5247106e+01 6.9826285e+01 2.2024732e+01]\n", + " [-2.6199870e+00 4.3623528e+01 5.8126320e+00]\n", + " [-6.0018610e+00 4.4705278e+01 6.7617350e+00]\n", + " [-9.7570110e+00 4.4643291e+01 7.8324600e+00]\n", + " [-1.2702457e+01 4.5252072e+01 8.0905180e+00]\n", + " [-1.6000612e+01 4.5935355e+01 9.0194480e+00]\n", + " [-1.9941449e+01 4.6264511e+01 9.9720840e+00]\n", + " [-2.3292785e+01 4.6157549e+01 1.0932246e+01]\n", + " [-2.6549290e+01 4.7194924e+01 1.1066268e+01]\n", + " [-3.0189134e+01 4.7074387e+01 1.2073564e+01]\n", + " [-3.3504938e+01 4.7366476e+01 1.2975333e+01]\n", + " [-3.6844992e+01 4.8015650e+01 1.3203840e+01]\n", + " [-4.0450991e+01 4.8309201e+01 1.4138261e+01]\n", + " [-4.3396573e+01 4.9338923e+01 1.4303202e+01]\n", + " [-4.6761809e+01 4.9220334e+01 1.5224906e+01]\n", + " [-5.0799976e+01 4.9151101e+01 1.5879254e+01]\n", + " [-5.2358044e+01 4.9637330e+01 1.6078271e+01]\n", + " [ 1.8761000e-02 5.3647884e+01 3.5197651e+01]\n", + " [-3.1125280e+00 5.3860282e+01 3.5337854e+01]\n", + " [-6.5285090e+00 5.5282611e+01 3.5345926e+01]\n", + " [-1.0133507e+01 5.5532376e+01 3.5426841e+01]\n", + " [-1.3435716e+01 5.6152072e+01 3.5463624e+01]\n", + " [-1.7063573e+01 5.6055837e+01 3.6323271e+01]\n", + " [-2.0408834e+01 5.6679634e+01 3.6336439e+01]\n", + " [-2.4001348e+01 5.6921880e+01 3.6383149e+01]\n", + " [-2.7369889e+01 5.7549149e+01 3.6391990e+01]\n", + " [-3.0985986e+01 5.7797984e+01 3.6431495e+01]\n", + " [-3.4257121e+01 5.8413666e+01 3.6420977e+01]\n", + " [-3.7687867e+01 5.8658298e+01 3.6460188e+01]\n", + " [-4.1277843e+01 5.8900392e+01 3.6512916e+01]\n", + " [-4.4616937e+01 5.9524187e+01 3.6540439e+01]\n", + " [-4.8701198e+01 5.9806767e+01 3.6684980e+01]\n", + " [-5.1498405e+01 6.0370667e+01 3.6764905e+01]\n", + " [-4.1663200e-01 2.8166140e+01 5.0955763e+01]\n", + " [-2.6603820e+00 2.8353301e+01 5.1929068e+01]\n", + " [-6.0229340e+00 2.8632972e+01 5.3161506e+01]\n", + " [-1.0101884e+01 2.8986033e+01 5.4305472e+01]\n", + " [-1.4092396e+01 2.8986742e+01 5.5980049e+01]\n", + " [-1.7026503e+01 2.9234083e+01 5.7034625e+01]\n", + " [-2.0661998e+01 2.9546895e+01 5.8104272e+01]\n", + " [-2.3555413e+01 3.0125634e+01 5.9101146e+01]\n", + " [-2.6875198e+01 3.0065661e+01 6.0189676e+01]\n", + " [-2.9802244e+01 2.9995585e+01 6.1255322e+01]\n", + " [-3.2646110e+01 3.0604097e+01 6.2205235e+01]\n", + " [-3.6646198e+01 3.1289810e+01 6.3267809e+01]\n", + " [-4.0097632e+01 3.1247037e+01 6.4402526e+01]\n", + " [-4.3652207e+01 3.1929346e+01 6.5398302e+01]\n", + " [-4.6536866e+01 3.2208883e+01 6.6400773e+01]\n", + " [-5.0232055e+01 3.2901193e+01 6.7544440e+01]]\n", + "[[ -3.18199909 63.42667983 46.64562988]\n", + " [ -4.18199903 60.42667986 48.64562988]\n", + " [ -4.18199903 61.42667986 48.64562988]\n", + " ...\n", + " [-21.18199801 60.42667985 47.64562988]\n", + " [-21.18199801 61.42667985 47.64562988]\n", + " [-21.18199801 62.42667985 47.64562988]]\n", + "[\"L'4\", \"L'5\", \"L'6\"]\n", + "['Left-Cerebral-White-Matter', 'ctx-lh-superiorfrontal', 'Left-Cerebral-White-Matter']\n" + ] + } + ], + "source": [ + "### comparing xyz coordinates\n", + "\n", + "# convert voxels of mask to xyz coordinates of electrodes\n", + "mask_coords = nb.affines.apply_affine(mask_fill_aff, mask_fill_indx)\n", + "\n", + "# compare xyz coordinates of electrodes and mask to find overlapping regions (should match clinical results)\n", + "elecs = []\n", + "elecs_name = []\n", + "\n", + "print(elec_coords)\n", + "print(mask_coords)\n", + "\n", + "for i in range(len(mask_coords)):\n", + " for j in range(len(elec_coords)):\n", + " if (np.abs(elec_coords[j][0] - mask_coords[i][0]) <= 4) & (np.abs(elec_coords[j][1] - (mask_coords[i][1]+5)) <= 4) \\\n", + " & (np.abs(elec_coords[j][2] - mask_coords[i][2]) <= 4):\n", + " if (coords[j][0] not in elecs):\n", + " elecs.append(coords[j][0])\n", + " elecs_name.append(coords[j][5])\n", + "\n", + "print(elecs)\n", + "print(elecs_name)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/notebooks/confirming_ablation_region_la03.ipynb b/notebooks/confirming_ablation_region_la03.ipynb new file mode 100644 index 0000000..1d66537 --- /dev/null +++ b/notebooks/confirming_ablation_region_la03.ipynb @@ -0,0 +1,594 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Confirming the Anatomical Region of the Ablation Using Freesurfer LUT" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After annotating the ablation region of the post surgical MRI with Seg3D, we use Slicer to reorient the MRI from RAS to freesurfer (FS) space. Then on the mask, we overlay the Desikan-Killiany atlas provided by Freesurfer, matching each voxel to its corresponding brain region in the atlas. Compare the resulting list of brain regions to what was clinically reported will allow us to confirm that the mask was mapped to the correct space. \n", + "\n", + "We will us la03 as an example." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# import modules\n", + "import os\n", + "import nibabel as nb\n", + "import numpy as np\n", + "import nrrd\n", + "import collections\n", + "from PIL import Image" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Freesurfer's lookup table (LUT) assigns a number to a certain brain region. The full table can be found here:\n", + "https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/AnatomicalROI/FreeSurferColorLUT" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading lookup table for freesurfer labels\n" + ] + } + ], + "source": [ + "# get labels using Freesurfer's lookup table (LUT)\n", + "fs_lut_fpath = \"C:\\\\Users\\\\d0156\\\\Dropbox\\\\bids_layout_data\\\\sub-la02\\\\FreeSurferColorLUT.txt\"\n", + "fid = open(fs_lut_fpath)\n", + "LUT = fid.readlines()\n", + "fid.close()\n", + "\n", + "# make dictionary of labels\n", + "LUT = [row.split() for row in LUT]\n", + "lab = {}\n", + "for row in LUT:\n", + " if (\n", + " len(row) > 1 and row[0][0] is not \"#\" and row[0][0] is not \"\\\\\"\n", + " ):\n", + " lname = row[1]\n", + " lab[np.int(row[0])] = lname\n", + "\n", + "print(\"Loading lookup table for freesurfer labels\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Freesurfer provides three different types of atlases: Desikan-Killiany, DKT, and Destrieux. The three are trained in different ways, but in general, an atlas is a model of the cortical surface based on probabilistic information estimated from a manually labeled training set. For more information, visit\n", + "https://surfer.nmr.mgh.harvard.edu/fswiki/CorticalParcellation" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading atlas\n" + ] + } + ], + "source": [ + "# assuming atlas type is desikan-killiany\n", + "depth_atlas_suffix = \"\"\n", + "mri_dir = \"C:\\\\Users\\\\d0156\\\\Johns Hopkins\\\\Adam Li - epilepsy_bids\\\\derivatives\\\\freesurfer\\\\la03\\\\mri\"\n", + "\n", + "# load in ASEG image file from atlas\n", + "aseg_fpath = os.path.join(mri_dir, \"aparc%s+aseg.mgz\" % (depth_atlas_suffix))\n", + "depth_atlas_img = nb.freesurfer.load(aseg_fpath)\n", + "aparc_dat = depth_atlas_img.get_fdata()\n", + "\n", + "print(\"Loading atlas\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After annotating the ablation in Seg3D and mapping the mask to FS space using Slicer, we index the annotated voxels of the mask. " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading mask\n", + "[[132 108 187]\n", + " [132 108 188]\n", + " [132 109 185]\n", + " ...\n", + " [147 116 183]\n", + " [147 116 184]\n", + " [147 116 185]]\n", + "Loading mask index\n" + ] + } + ], + "source": [ + "# load mask image\n", + "mask_dir = \"C:\\\\Users\\\\d0156\\\\Dropbox\\\\bids_layout_data\\\\sub-la02\\\\test\"\n", + "mask_fpath = os.path.join(mask_dir, \"sub-la02_ses-postsurgery_proc-slicer.nii\")\n", + "mask_img = nb.load(mask_fpath)\n", + "mask_data = mask_img.get_fdata()\n", + "\n", + "print(\"Loading mask\")\n", + "\n", + "# determine where mask is\n", + "mask_indx = np.argwhere(mask_data)\n", + "print(mask_indx)\n", + "print(\"Loading mask index\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We overlay the annotated voxels with the atlas and the LUT, which gives us a list of brain regions within the mask. This should be similar to what was reported clinically. " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading brain regions in mask\n", + "Brain regions in mask: \n", + "['ctx-lh-superiorfrontal', 'Left-Cerebral-White-Matter', 'WM-hypointensities', 'ctx-lh-rostralmiddlefrontal']\n" + ] + } + ], + "source": [ + "# determine list of brain regions in mask\n", + "aparc_indx = []\n", + "for i in range(len(mask_indx)):\n", + " aparc_indx.append(aparc_dat[mask_indx[i][0], mask_indx[i][1], mask_indx[i][2]])\n", + "\n", + "regions = []\n", + "for i in range(len(aparc_indx)):\n", + " if (aparc_indx[i] != 0) and (lab[aparc_indx[i]] not in regions):\n", + " regions.append(lab[aparc_indx[i]])\n", + "\n", + "print(\"Loading brain regions in mask\")\n", + "\n", + "print(\"Brain regions in mask: \")\n", + "print(regions)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def _from_tsv(fname, dtypes=None):\n", + " \"\"\"Read a tsv file into an OrderedDict.\n", + " Parameters\n", + " ----------\n", + " fname : str\n", + " Path to the file being loaded.\n", + " dtypes : list, optional\n", + " List of types to cast the values loaded as. This is specified column by\n", + " column.\n", + " Defaults to None. In this case all the data is loaded as strings.\n", + " Returns\n", + " -------\n", + " data_dict : collections.OrderedDict\n", + " Keys are the column names, and values are the column data.\n", + " \"\"\"\n", + " data = np.loadtxt(fname, dtype=str, delimiter='\\t',\n", + " comments=None, encoding='utf-8')\n", + " column_names = data[0, :]\n", + " info = data[1:, :]\n", + " data_dict = collections.OrderedDict()\n", + " if dtypes is None:\n", + " dtypes = [str] * info.shape[1]\n", + " if not isinstance(dtypes, (list, tuple)):\n", + " dtypes = [dtypes] * info.shape[1]\n", + " if not len(dtypes) == info.shape[1]:\n", + " raise ValueError('dtypes length mismatch. Provided: {0}, '\n", + " 'Expected: {1}'.format(len(dtypes), info.shape[1]))\n", + " for i, name in enumerate(column_names):\n", + " data_dict[name] = info[:, i].astype(dtypes[i]).tolist()\n", + " return data_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(256, 256, 256)\n", + "Loading mask\n", + "(729, 3)\n", + "(2140, 3)\n", + "Loading mask index\n", + "[[-9.99999940e-01 0.00000000e+00 0.00000000e+00 1.26817993e+02]\n", + " [ 0.00000000e+00 -1.49011612e-08 1.00000000e+00 -1.21573318e+02]\n", + " [ 0.00000000e+00 -1.00000000e+00 0.00000000e+00 1.59645630e+02]\n", + " [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00]]\n", + "[[-9.99999932e-01 2.61643042e-04 -2.61643042e-04 1.26817993e+02]\n", + " [-2.61643042e-04 3.42285418e-08 9.99999966e-01 -1.21573318e+02]\n", + " [-2.61643042e-04 -9.99999966e-01 -3.42285418e-08 1.59645630e+02]\n", + " [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00000000e+00]]\n" + ] + } + ], + "source": [ + "# load mask image (filled) \n", + "mask_fill_dir = \"C:\\\\Users\\\\d0156\\\\Dropbox\\\\bids_layout_data\\\\sub-la02\"\n", + "mask_fill_fpath = os.path.join(mask_fill_dir, \"sub-la02_ses-postsurgery_proc-slicerfillaxial.nii.gz\")\n", + "mask_fill_img = nb.load(mask_fill_fpath)\n", + "mask_fill_data = mask_fill_img.get_fdata()\n", + "\n", + "print(mask_fill_data.shape)\n", + "print(\"Loading mask\")\n", + "\n", + "# determine where mask is\n", + "mask_fill_indx = np.argwhere(mask_fill_data)\n", + "print(mask_indx.shape)\n", + "print(mask_fill_indx.shape)\n", + "print(\"Loading mask index\")\n", + "\n", + "mask_fill_aff = mask_fill_img.affine\n", + "\n", + "# load pret1 image\n", + "pret1_fpath = \"C:\\\\Users\\\\d0156\\\\Dropbox\\\\bids_layout_data\\\\sub-la02\\\\test\\\\sub-la02_ses-presurgery_space-fs_T1w.nii\"\n", + "pret1_img = nb.load(pret1_fpath)\n", + "pret1_aff = pret1_img.affine\n", + "print(pret1_aff)\n", + "print(mask_fill_aff)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[128. 124. 188.]\n", + " [131. 124. 190.]\n", + " [134. 124. 189.]\n", + " [137. 123. 189.]\n", + " [141. 123. 190.]\n", + " [144. 123. 190.]\n", + " [148. 123. 191.]\n", + " [152. 123. 192.]\n", + " [162. 122. 193.]\n", + " [166. 122. 194.]\n", + " [168. 122. 194.]\n", + " [172. 121. 195.]\n", + " [127. 104. 177.]\n", + " [130. 103. 177.]\n", + " [133. 102. 177.]\n", + " [136. 101. 177.]\n", + " [140. 100. 178.]\n", + " [143. 100. 178.]\n", + " [147. 99. 179.]\n", + " [155. 122. 192.]\n", + " [158. 122. 193.]\n", + " [151. 98. 179.]\n", + " [153. 98. 180.]\n", + " [157. 97. 180.]\n", + " [161. 96. 180.]\n", + " [165. 95. 181.]\n", + " [126. 138. 185.]\n", + " [130. 138. 186.]\n", + " [134. 138. 187.]\n", + " [137. 138. 187.]\n", + " [141. 138. 187.]\n", + " [144. 138. 187.]\n", + " [148. 138. 187.]\n", + " [151. 137. 188.]\n", + " [155. 138. 189.]\n", + " [158. 138. 189.]\n", + " [162. 138. 190.]\n", + " [165. 138. 191.]\n", + " [169. 138. 191.]\n", + " [172. 138. 191.]\n", + " [129. 154. 165.]\n", + " [133. 153. 166.]\n", + " [137. 152. 166.]\n", + " [140. 152. 167.]\n", + " [143. 151. 168.]\n", + " [147. 150. 168.]\n", + " [150. 149. 168.]\n", + " [153. 149. 169.]\n", + " [157. 148. 169.]\n", + " [160. 147. 169.]\n", + " [164. 146. 170.]\n", + " [167. 146. 170.]\n", + " [170. 145. 171.]\n", + " [174. 144. 171.]\n", + " [178. 144. 171.]\n", + " [179. 144. 171.]\n", + " [127. 124. 175.]\n", + " [130. 124. 175.]\n", + " [133. 124. 177.]\n", + " [137. 124. 177.]\n", + " [140. 124. 178.]\n", + " [144. 123. 178.]\n", + " [147. 123. 178.]\n", + " [151. 123. 178.]\n", + " [154. 123. 179.]\n", + " [158. 123. 179.]\n", + " [161. 123. 180.]\n", + " [165. 123. 180.]\n", + " [168. 123. 180.]\n", + " [171. 123. 181.]\n", + " [176. 123. 181.]\n", + " [178. 123. 182.]\n", + " [127. 109. 150.]\n", + " [129. 108. 150.]\n", + " [133. 106. 150.]\n", + " [137. 105. 151.]\n", + " [141. 104. 151.]\n", + " [144. 103. 151.]\n", + " [147. 102. 151.]\n", + " [150. 101. 152.]\n", + " [154. 99. 152.]\n", + " [157. 98. 152.]\n", + " [159. 97. 152.]\n", + " [163. 96. 153.]\n", + " [167. 95. 153.]\n", + " [170. 94. 154.]\n", + " [173. 93. 154.]\n", + " [177. 92. 154.]]\n", + "[[130 113 185]\n", + " [131 111 182]\n", + " [131 111 183]\n", + " ...\n", + " [148 112 182]\n", + " [148 112 183]\n", + " [148 112 184]]\n", + "[\"L'2\", \"L'3\", \"L'4\", \"G'4\", \"G'5\", \"L'5\", \"G'6\", \"L'6\", \"G'7\"]\n", + "['ctx-lh-superiorfrontal', 'ctx-lh-superiorfrontal', 'Left-Cerebral-White-Matter', 'Unknown', 'Left-Cerebral-White-Matter', 'ctx-lh-superiorfrontal', 'Left-Cerebral-White-Matter', 'Left-Cerebral-White-Matter', 'Left-Cerebral-White-Matter']\n" + ] + } + ], + "source": [ + "pre = _from_tsv(\"C:\\\\Users\\\\d0156\\\\Johns Hopkins\\\\Adam Li - epilepsy_bids\\\\sub-la02\\\\ses-presurgery\\\\ieeg\\\\sub-la02_ses-presurgery_acq-seeg_space-fs_electrodes.tsv\")\n", + "\n", + "keys = list(pre.keys())\n", + "values = list(pre.values())\n", + "coords = [[] for c in range(len(values[0]))]\n", + "\n", + "for i in range(len(values[0])):\n", + " for j in range(len(keys)):\n", + " coords[i].append(values[j][i])\n", + "\n", + "elec_coords = np.zeros((len(coords), 3))\n", + "\n", + "for i in range(len(coords)):\n", + " for j in range(3):\n", + " elec_coords[i][j] = float(coords[i][j+1])\n", + "\n", + "### comparing voxels\n", + "\n", + "# convert xyz coordinates of electrodes to voxels of mask\n", + "elec_vox = np.round(nb.affines.apply_affine(np.linalg.inv(pret1_aff), elec_coords))\n", + "#elec_vox = np.round(nb.affines.apply_affine(np.linalg.inv(mask_fill_aff), elec_coords))\n", + "\n", + "print(elec_vox)\n", + "print(mask_fill_indx)\n", + "\n", + "# compare voxels of electrodes and mask to find overlapping regions (should match clinical results)\n", + "elecs = []\n", + "elecs_name = []\n", + "\n", + "for i in range(len(mask_fill_indx)):\n", + " for j in range(len(elec_vox)):\n", + " if (np.abs(elec_vox[j][0] - mask_fill_indx[i][0]) <= 1.) & (np.abs(elec_vox[j][1] - (mask_fill_indx[i][1]+10)) <= 1.) \\\n", + " & (np.abs(elec_vox[j][2] - mask_fill_indx[i][2]) <= 1.):\n", + " if (coords[j][0] not in elecs):\n", + " elecs.append(coords[j][0])\n", + " elecs_name.append(coords[j][5])\n", + "\n", + "print(elecs)\n", + "print(elecs_name)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[-1.0955760e+00 6.6539884e+01 3.5287211e+01]\n", + " [-3.8047780e+00 6.7947332e+01 3.5308774e+01]\n", + " [-7.3189440e+00 6.7799889e+01 3.5474825e+01]\n", + " [-1.0587486e+01 6.7266380e+01 3.6440106e+01]\n", + " [-1.3942345e+01 6.8679315e+01 3.6434484e+01]\n", + " [-1.7505318e+01 6.8924151e+01 3.6523733e+01]\n", + " [-2.1141346e+01 6.9575450e+01 3.6618872e+01]\n", + " [-2.4768636e+01 7.0216901e+01 3.6678147e+01]\n", + " [-3.5076995e+01 7.1398199e+01 3.7646456e+01]\n", + " [-3.8717799e+01 7.2429766e+01 3.7662103e+01]\n", + " [-4.1295015e+01 7.2632320e+01 3.7804739e+01]\n", + " [-4.5299609e+01 7.2962515e+01 3.8653796e+01]\n", + " [ 3.1036500e-01 5.5307639e+01 5.6059407e+01]\n", + " [-2.7794890e+00 5.5580637e+01 5.7002584e+01]\n", + " [-6.2322750e+00 5.5840585e+01 5.7364656e+01]\n", + " [-9.5363420e+00 5.5708765e+01 5.8360146e+01]\n", + " [-1.3145142e+01 5.6022641e+01 5.9303125e+01]\n", + " [-1.6482282e+01 5.6661112e+01 5.9521911e+01]\n", + " [-2.0069954e+01 5.7348006e+01 6.0408980e+01]\n", + " [-2.8123609e+01 7.0128234e+01 3.7574121e+01]\n", + " [-3.1415426e+01 7.1136879e+01 3.7578534e+01]\n", + " [-2.3744426e+01 5.7254204e+01 6.1382683e+01]\n", + " [-2.6677349e+01 5.8281536e+01 6.1560423e+01]\n", + " [-3.0366181e+01 5.8192371e+01 6.2593553e+01]\n", + " [-3.3968939e+01 5.8874767e+01 6.3507398e+01]\n", + " [-3.8102582e+01 5.9640912e+01 6.4751481e+01]\n", + " [ 8.6186200e-01 6.3898502e+01 2.1573020e+01]\n", + " [-3.3102590e+00 6.4571406e+01 2.1624713e+01]\n", + " [-6.6878590e+00 6.5592659e+01 2.1649191e+01]\n", + " [-1.0103678e+01 6.5049286e+01 2.1755192e+01]\n", + " [-1.3723719e+01 6.5693017e+01 2.1803671e+01]\n", + " [-1.7402136e+01 6.5135075e+01 2.1900789e+01]\n", + " [-2.1041273e+01 6.5785383e+01 2.1949461e+01]\n", + " [-2.4332869e+01 6.6843202e+01 2.2750460e+01]\n", + " [-2.8005797e+01 6.7427854e+01 2.1936957e+01]\n", + " [-3.1610378e+01 6.7660516e+01 2.1922215e+01]\n", + " [-3.4977180e+01 6.8303613e+01 2.1889212e+01]\n", + " [-3.8321770e+01 6.8941184e+01 2.1897649e+01]\n", + " [-4.2347067e+01 6.9579321e+01 2.2112220e+01]\n", + " [-4.5247106e+01 6.9826285e+01 2.2024732e+01]\n", + " [-2.6199870e+00 4.3623528e+01 5.8126320e+00]\n", + " [-6.0018610e+00 4.4705278e+01 6.7617350e+00]\n", + " [-9.7570110e+00 4.4643291e+01 7.8324600e+00]\n", + " [-1.2702457e+01 4.5252072e+01 8.0905180e+00]\n", + " [-1.6000612e+01 4.5935355e+01 9.0194480e+00]\n", + " [-1.9941449e+01 4.6264511e+01 9.9720840e+00]\n", + " [-2.3292785e+01 4.6157549e+01 1.0932246e+01]\n", + " [-2.6549290e+01 4.7194924e+01 1.1066268e+01]\n", + " [-3.0189134e+01 4.7074387e+01 1.2073564e+01]\n", + " [-3.3504938e+01 4.7366476e+01 1.2975333e+01]\n", + " [-3.6844992e+01 4.8015650e+01 1.3203840e+01]\n", + " [-4.0450991e+01 4.8309201e+01 1.4138261e+01]\n", + " [-4.3396573e+01 4.9338923e+01 1.4303202e+01]\n", + " [-4.6761809e+01 4.9220334e+01 1.5224906e+01]\n", + " [-5.0799976e+01 4.9151101e+01 1.5879254e+01]\n", + " [-5.2358044e+01 4.9637330e+01 1.6078271e+01]\n", + " [ 1.8761000e-02 5.3647884e+01 3.5197651e+01]\n", + " [-3.1125280e+00 5.3860282e+01 3.5337854e+01]\n", + " [-6.5285090e+00 5.5282611e+01 3.5345926e+01]\n", + " [-1.0133507e+01 5.5532376e+01 3.5426841e+01]\n", + " [-1.3435716e+01 5.6152072e+01 3.5463624e+01]\n", + " [-1.7063573e+01 5.6055837e+01 3.6323271e+01]\n", + " [-2.0408834e+01 5.6679634e+01 3.6336439e+01]\n", + " [-2.4001348e+01 5.6921880e+01 3.6383149e+01]\n", + " [-2.7369889e+01 5.7549149e+01 3.6391990e+01]\n", + " [-3.0985986e+01 5.7797984e+01 3.6431495e+01]\n", + " [-3.4257121e+01 5.8413666e+01 3.6420977e+01]\n", + " [-3.7687867e+01 5.8658298e+01 3.6460188e+01]\n", + " [-4.1277843e+01 5.8900392e+01 3.6512916e+01]\n", + " [-4.4616937e+01 5.9524187e+01 3.6540439e+01]\n", + " [-4.8701198e+01 5.9806767e+01 3.6684980e+01]\n", + " [-5.1498405e+01 6.0370667e+01 3.6764905e+01]\n", + " [-4.1663200e-01 2.8166140e+01 5.0955763e+01]\n", + " [-2.6603820e+00 2.8353301e+01 5.1929068e+01]\n", + " [-6.0229340e+00 2.8632972e+01 5.3161506e+01]\n", + " [-1.0101884e+01 2.8986033e+01 5.4305472e+01]\n", + " [-1.4092396e+01 2.8986742e+01 5.5980049e+01]\n", + " [-1.7026503e+01 2.9234083e+01 5.7034625e+01]\n", + " [-2.0661998e+01 2.9546895e+01 5.8104272e+01]\n", + " [-2.3555413e+01 3.0125634e+01 5.9101146e+01]\n", + " [-2.6875198e+01 3.0065661e+01 6.0189676e+01]\n", + " [-2.9802244e+01 2.9995585e+01 6.1255322e+01]\n", + " [-3.2646110e+01 3.0604097e+01 6.2205235e+01]\n", + " [-3.6646198e+01 3.1289810e+01 6.3267809e+01]\n", + " [-4.0097632e+01 3.1247037e+01 6.4402526e+01]\n", + " [-4.3652207e+01 3.1929346e+01 6.5398302e+01]\n", + " [-4.6536866e+01 3.2208883e+01 6.6400773e+01]\n", + " [-5.0232055e+01 3.2901193e+01 6.7544440e+01]]\n", + "[[ -3.18199909 63.42667983 46.64562988]\n", + " [ -4.18199903 60.42667986 48.64562988]\n", + " [ -4.18199903 61.42667986 48.64562988]\n", + " ...\n", + " [-21.18199801 60.42667985 47.64562988]\n", + " [-21.18199801 61.42667985 47.64562988]\n", + " [-21.18199801 62.42667985 47.64562988]]\n", + "[\"L'4\", \"L'5\", \"L'6\"]\n", + "['Left-Cerebral-White-Matter', 'ctx-lh-superiorfrontal', 'Left-Cerebral-White-Matter']\n" + ] + } + ], + "source": [ + "### comparing xyz coordinates\n", + "\n", + "# convert voxels of mask to xyz coordinates of electrodes\n", + "mask_coords = nb.affines.apply_affine(mask_fill_aff, mask_fill_indx)\n", + "\n", + "# compare xyz coordinates of electrodes and mask to find overlapping regions (should match clinical results)\n", + "elecs = []\n", + "elecs_name = []\n", + "\n", + "print(elec_coords)\n", + "print(mask_coords)\n", + "\n", + "for i in range(len(mask_coords)):\n", + " for j in range(len(elec_coords)):\n", + " if (np.abs(elec_coords[j][0] - mask_coords[i][0]) <= 4) & (np.abs(elec_coords[j][1] - (mask_coords[i][1]+5)) <= 4) \\\n", + " & (np.abs(elec_coords[j][2] - mask_coords[i][2]) <= 4):\n", + " if (coords[j][0] not in elecs):\n", + " elecs.append(coords[j][0])\n", + " elecs_name.append(coords[j][5])\n", + "\n", + "print(elecs)\n", + "print(elecs_name)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/notebooks/validation_of_postsurgicalmasking.ipynb b/notebooks/validation_of_postsurgicalmasking.ipynb new file mode 100644 index 0000000..507f912 --- /dev/null +++ b/notebooks/validation_of_postsurgicalmasking.ipynb @@ -0,0 +1,1371 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Determining the Correct Orientation of the Post-Surgical T1 MRI To Feed Into Seg3D\n", + "\n", + "Currently, Seg3D outputs segmentations as `.nrrd` files, which seem to also have a fixed RAS orientation. This is a problem if say we would like to overlay the T1 image of the Post-surgery onto the Pre-surgical T1 MRI.\n", + "\n", + "For example, if there is a left/right flip, then the surgical segmentation is on the wrong hemisphere of the brain. \n", + "\n", + "What our current workflow does is:\n", + "\n", + "0. robustfov: any \"neck\" is cropped out of the T1 MRI field of view\n", + "1. acpcdetect: T1 MRI is acpc aligned and RAS oriented \n", + "2. coregistration: the Post-surgical T1 (acpc, RAS) is coregistered onto the Pre-surgical T1 MRI (acpc, RAS)\n", + "3. Seg3D: the coregistered Post-surgical T1 MRI (acpc, RAS) is annotated and outputs a `.nrrd` file with the image volume mask of the surgical segmentation\n", + "4. coregistration: The coregistered Post-surgical T1 (acpc, RAS) on the pre-surgical T1 MRI is then again coregistered to the FreeSurfer T1 MRI (256^3 LIA orientation, or we can apply whatever process FreeSurfer does. the coregistration here is a hack)\n", + "5. Apply transformation matrix to the seg3d mask to map it correctly to the FreeSurfer space.\n", + "\n", + "Now, the coregistered Post-Surgical T1 from step 4 and the Freesurfer T1 MRI are in the same space and can be overlaid with anatomical masks, white matter masks, etc. \n", + "\n", + "## Validation\n", + "In order to confirm this flow, we currently have Post-Surgical T1 MRI annotated without acpc alignment. It auto orients to RAS. This poses some issues because then the coregistration transformation matrix we apply to get this image to FreeSurfer T1 image is incorrect.\n", + "\n", + "We want to run all the above steps, and do a quick visualization of each: Let us use `la02` as an example." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "### lOAD FUNCTIONS\n", + "import nibabel as nb\n", + "import numpy as np\n", + "import nrrd\n", + "import sys\n", + "from pathlib import Path\n", + "import matplotlib.pyplot as plt\n", + "from PIL import Image\n", + "from mne_bids import make_bids_basename" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "### DEFINE FUNCTIONS\n", + "# visualize list of slices\n", + "def show_slices(slices):\n", + " fig, axes = plt.subplots(1, len(slices))\n", + " for i, slice in enumerate(slices):\n", + " axes[i].imshow(slice.T, cmap=\"gray\", origin=\"lower\")\n", + "\n", + "def transform(coords, src_img, dest_img, transform_mat):\n", + " import subprocess\n", + " coords_str = \" \".join([str(x) for x in coords])\n", + " cp = subprocess.run(\n", + " \"echo %s | img2imgcoord -mm -src %s -dest %s -xfm %s\"\n", + " % (coords_str, src_img, dest_img, transform_mat),\n", + " shell=True,\n", + " stdout=subprocess.PIPE,\n", + " )\n", + " transformed_coords_str = cp.stdout.decode(\"ascii\").strip().split(\"\\n\")[-1]\n", + " return np.array([float(x) for x in transformed_coords_str.split(\" \") if x])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load Data\n", + "\n", + "Load the data from step 0-5." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# set subject and root path\n", + "subject = 'la02'\n", + "bids_root = Path(\"C:\\\\Users\\\\d0156\\\\Dropbox\\\\bids_layout_data\")\n", + "\n", + "### DEFINE FILE PATHS\n", + "# original T1 MRI nifti files\n", + "pret1_basename = make_bids_basename(subject=subject, session='presurgery', suffix='T1w.nii')\n", + "pret1_fpath = bids_root / f'sub-{subject}' / 'visualization' / pret1_basename\n", + "\n", + "postt1_basename = make_bids_basename(subject=subject, session='postsurgery', suffix='T1w.nii')\n", + "postt1_fpath = bids_root / f'sub-{subject}' / 'visualization' / postt1_basename\n", + "\n", + "# after running robust fov on both of them\n", + "robustfov_pret1_basename = make_bids_basename(subject=subject, session='presurgery', processing='robustfov', suffix='T1w.nii')\n", + "robustfov_pret1_fpath = bids_root / f'sub-{subject}' / 'visualization' / robustfov_pret1_basename\n", + "\n", + "robustfov_postt1_basename = make_bids_basename(subject=subject, session='postsurgery', processing='robustfov', suffix='T1w.nii')\n", + "robustfov_postt1_fpath = bids_root / f'sub-{subject}' / 'visualization' / robustfov_postt1_basename\n", + "\n", + "# after running acpcdetect on both of them\n", + "acpc_pret1_basename = make_bids_basename(subject=subject, session='presurgery', processing='newrobustfov', space='ACPC', suffix='T1w.nii')\n", + "acpc_pret1_fpath = bids_root / f'sub-{subject}' / 'visualization' / acpc_pret1_basename\n", + "\n", + "acpc_postt1_basename = make_bids_basename(subject=subject, session='postsurgery', processing='newrobustfov', space='ACPC', suffix='T1w.nii')\n", + "acpc_postt1_fpath = bids_root / f'sub-{subject}' / 'visualization' / acpc_postt1_basename\n", + "\n", + "# after first coregistration post on pre\n", + "postonpre_t1_basename = make_bids_basename(subject=subject, session='postsurgery', processing='postonpre', suffix='T1w.nii')\n", + "postonpre_t1_fpath = bids_root / f'sub-{subject}' / 'visualization' / postonpre_t1_basename\n", + "\n", + "# after second coregistration using applyxfm\n", + "#app_postonpre_t1_basename = make_bids_basename(subject=subject, session='postonpre', processing='applyxfm', suffix='T1w.nii.gz')\n", + "#app_postonpre_t1_fpath = bids_root / f'sub-{subject}' / 'ses-postonpre' / app_postonpre_t1_basename\n", + "\n", + "# after second conregistration using talairach.xfm\n", + "tal_postonpre_t1_basename = make_bids_basename(subject=subject, session='postsurgery', processing='secpostonpre', suffix='T1w.nii.gz')\n", + "tal_postonpre_t1_fpath = bids_root / f'sub-{subject}' / 'visualization' / tal_postonpre_t1_basename" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'app_postonpre_t1_fpath' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 11\u001b[0m \u001b[0mpostonpre_t1\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpostonpre_t1_fpath\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 12\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 13\u001b[1;33m \u001b[0mapp_postonpre_t1\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mapp_postonpre_t1_fpath\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 14\u001b[0m \u001b[0mtal_postonpre_t1\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtal_postonpre_t1_fpath\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mNameError\u001b[0m: name 'app_postonpre_t1_fpath' is not defined" + ] + } + ], + "source": [ + "# use nibabel and load\n", + "postt1 = nb.load(postt1_fpath)\n", + "pret1 = nb.load(pret1_fpath)\n", + "\n", + "robustfov_pret1 = nb.load(robustfov_pret1_fpath)\n", + "robustfov_postt1 = nb.load(robustfov_postt1_fpath)\n", + "\n", + "acpc_pret1 = nb.load(acpc_pret1_fpath)\n", + "acpc_postt1 = nb.load(acpc_postt1_fpath)\n", + "\n", + "postonpre_t1 = nb.load(postonpre_t1_fpath)\n", + "\n", + "app_postonpre_t1 = nb.load(app_postonpre_t1_fpath)\n", + "tal_postonpre_t1 = nb.load(tal_postonpre_t1_fpath)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " object, endian='<'\n", + "sizeof_hdr : 348\n", + "data_type : b''\n", + "db_name : b''\n", + "extents : 16384\n", + "session_error : 0\n", + "regular : b'r'\n", + "dim_info : 0\n", + "dim : [ 3 256 189 160 1 1 1 1]\n", + "intent_p1 : 0.0\n", + "intent_p2 : 0.0\n", + "intent_p3 : 0.0\n", + "intent_code : none\n", + "datatype : float32\n", + "bitpix : 32\n", + "slice_start : 0\n", + "pixdim : [1. 0.898 0.898 1.5000045 0. 0. 0.\n", + " 0. ]\n", + "vox_offset : 0.0\n", + "scl_slope : nan\n", + "scl_inter : nan\n", + "slice_end : 0\n", + "slice_code : unknown\n", + "xyzt_units : 10\n", + "cal_max : 0.0\n", + "cal_min : 0.0\n", + "slice_duration : 0.0\n", + "toffset : 0.0\n", + "glmax : 0\n", + "glmin : 0\n", + "descrip : b'6.0.3:b862cdd5'\n", + "aux_file : b''\n", + "qform_code : scanner\n", + "sform_code : scanner\n", + "quatern_b : 0.0\n", + "quatern_c : 0.6146821\n", + "quatern_d : -0.78877497\n", + "qoffset_x : 113.762\n", + "qoffset_y : 143.52429\n", + "qoffset_z : 84.61472\n", + "srow_x : [ -0.898 0. 0. 113.762]\n", + "srow_y : [ 0. -0.21941006 -1.4545419 143.52429 ]\n", + "srow_z : [ 0. -0.8707831 0.36649898 84.61472 ]\n", + "intent_name : b''\n", + "magic : b'n+1'\n" + ] + } + ], + "source": [ + "# change data type \n", + "print(robustfov_pret1.header)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# change data type from float32 to int16\n", + "robustfov_pret1_ndata = np.copy(robustfov_pret1.get_fdata())\n", + "robustfov_pret1_ndata = np.nan_to_num(robustfov_pret1_ndata)\n", + "hd = robustfov_pret1.header\n", + "\n", + "new_dtype = np.int16 \n", + "robustfov_pret1_ndata = robustfov_pret1_ndata.astype(new_dtype)\n", + "robustfov_pret1.set_data_dtype(new_dtype)\n", + "new_robustfov_pret1 = nb.Nifti1Image(robustfov_pret1_ndata, robustfov_pret1.affine, header=hd)\n", + "\n", + "nb.save(new_robustfov_pret1, \"C:\\\\Users\\\\d0156\\\\Dropbox\\\\bids_layout_data\\\\sub-la02\\\\visualization\\\\sub-la02_ses-presurgery_proc-newrobustfov_T1w.nii\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " object, endian='<'\n", + "sizeof_hdr : 348\n", + "data_type : b''\n", + "db_name : b''\n", + "extents : 16384\n", + "session_error : 0\n", + "regular : b'r'\n", + "dim_info : 0\n", + "dim : [ 3 256 189 160 1 1 1 1]\n", + "intent_p1 : 0.0\n", + "intent_p2 : 0.0\n", + "intent_p3 : 0.0\n", + "intent_code : none\n", + "datatype : float32\n", + "bitpix : 32\n", + "slice_start : 0\n", + "pixdim : [1. 0.898 0.898 1.500003 0. 0. 0. 0. ]\n", + "vox_offset : 0.0\n", + "scl_slope : nan\n", + "scl_inter : nan\n", + "slice_end : 0\n", + "slice_code : unknown\n", + "xyzt_units : 10\n", + "cal_max : 0.0\n", + "cal_min : 0.0\n", + "slice_duration : 0.0\n", + "toffset : 0.0\n", + "glmax : 0\n", + "glmin : 0\n", + "descrip : b'6.0.3:b862cdd5'\n", + "aux_file : b''\n", + "qform_code : scanner\n", + "sform_code : scanner\n", + "quatern_b : 0.0\n", + "quatern_c : 0.6146821\n", + "quatern_d : -0.78877497\n", + "qoffset_x : 113.762\n", + "qoffset_y : 146.03697\n", + "qoffset_z : 92.31677\n", + "srow_x : [ -0.898 0. 0. 113.762]\n", + "srow_y : [ 0. -0.21941006 -1.4545405 146.03697 ]\n", + "srow_z : [ 0. -0.8707831 0.36649862 92.31677 ]\n", + "intent_name : b''\n", + "magic : b'n+1'\n" + ] + } + ], + "source": [ + "print(robustfov_postt1.header)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "robustfov_postt1_ndata = np.copy(robustfov_postt1.get_fdata())\n", + "robustfov_post1_ndata = np.nan_to_num(robustfov_postt1_ndata)\n", + "hd = robustfov_postt1.header\n", + "\n", + "new_dtype = np.int16 \n", + "robustfov_postt1_ndata = robustfov_postt1_ndata.astype(new_dtype)\n", + "robustfov_postt1.set_data_dtype(new_dtype)\n", + "new_robustfov_postt1 = nb.Nifti1Image(robustfov_postt1_ndata, robustfov_postt1.affine, header=hd)\n", + "\n", + "nb.save(new_robustfov_postt1, \"C:\\\\Users\\\\d0156\\\\Dropbox\\\\bids_layout_data\\\\sub-la02\\\\visualization\\\\sub-la02_ses-postsurgery_proc-newrobustfov_T1w.nii\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Visualization and Basic Analysis\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## RobustFOV - PreT1" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(256, 160, 189)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# re-orient to RAS coordinates\n", + "ras_robustfov_pret1 = nb.as_closest_canonical(robustfov_pret1)\n", + "\n", + "# load and check dimensions\n", + "ras_robustfov_pret1_data = ras_robustfov_pret1.get_fdata()\n", + "ras_robustfov_pret1_data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'sub-la02_ses-presurgery_proc-robustfov_T1w.nii')" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# visualize center slices (sagittal, coronal, axial)\n", + "slice_0 = ras_robustfov_pret1_data[128, :, :]\n", + "slice_1 = ras_robustfov_pret1_data[:, 80, :]\n", + "slice_2 = ras_robustfov_pret1_data[:, :, 94]\n", + "show_slices([slice_0, slice_1, slice_2])\n", + "plt.tight_layout()\n", + "plt.suptitle(robustfov_pret1_basename)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## RobustFOV - PostT1" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(256, 160, 189)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# re-orient to RAS coordinates\n", + "ras_robustfov_postt1 = nb.as_closest_canonical(robustfov_postt1)\n", + "ras_robustfov_postt1_data = ras_robustfov_postt1.get_fdata()\n", + "ras_robustfov_postt1_data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'sub-la02_ses-postsurgery_proc-robustfov_T1w.nii')" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# visualize center slices (sagittal, coronal, axial)\n", + "slice_0 = ras_robustfov_postt1_data[128, :, :]\n", + "slice_1 = ras_robustfov_postt1_data[:, 80, :]\n", + "slice_2 = ras_robustfov_postt1_data[:, :, 94]\n", + "show_slices([slice_0, slice_1, slice_2])\n", + "plt.tight_layout()\n", + "plt.suptitle(robustfov_postt1_basename)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ACPC Detect - PreT1" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(256, 160, 189)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# re-orient to RAS coordinates\n", + "ras_acpc_pret1 = nb.as_closest_canonical(acpc_pret1)\n", + "\n", + "# load and check dimensions \n", + "ras_acpc_pret1_data = ras_acpc_pret1.get_fdata()\n", + "ras_acpc_pret1_data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'sub-la02_ses-presurgery_proc-newrobustfov_space-ACPC_T1w.nii')" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# visualize center slices (sagittal, coronal, axial)\n", + "slice_0 = ras_acpc_pret1_data[128, :, :]\n", + "slice_1 = ras_acpc_pret1_data[:, 80, :]\n", + "slice_2 = ras_acpc_pret1_data[:, :, 94]\n", + "show_slices([slice_0, slice_1, slice_2])\n", + "plt.tight_layout()\n", + "plt.suptitle(acpc_pret1_basename)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ACPC Detect - PostT1" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(256, 160, 189)" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# re-orient to RAS coordinates\n", + "ras_acpc_postt1 = nb.as_closest_canonical(acpc_postt1)\n", + "\n", + "# load and check dimensions\n", + "ras_acpc_postt1_data = ras_acpc_postt1.get_fdata()\n", + "ras_acpc_postt1_data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'sub-la02_ses-postsurgery_proc-newrobustfov_space-ACPC_T1w.nii')" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# visualize center slices (sagittal, coronal, axial)\n", + "slice_0 = ras_acpc_postt1_data[128, :, :]\n", + "slice_1 = ras_acpc_postt1_data[:, 80, :]\n", + "slice_2 = ras_acpc_postt1_data[:, :, 94]\n", + "show_slices([slice_0, slice_1, slice_2])\n", + "plt.tight_layout()\n", + "plt.suptitle(acpc_postt1_basename)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## First Coregistration PostT1 -> PreT1" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(256, 160, 189)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# re-orient to RAS coordinates\n", + "ras_postonpre_t1 = nb.as_closest_canonical(postonpre_t1)\n", + "\n", + "# load and check dimensions\n", + "ras_postonpre_t1_data = ras_acpc_postt1.get_fdata()\n", + "ras_postonpre_t1_data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'sub-la02_ses-postsurgery_proc-postonpre_T1w.nii')" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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VKIvFYrFUJVagLBaLxVKVWIGyWCwWS1ViBcpisVgsVYkVKIvFYrFUJVagLBaLxVKVWIGyWCwWS1ViBcpisVgsVYkVKIvFYrFUJVagLBaLxVKVeF7qAgAopZznuP2C147jnPK94DjOgt+Z2yqlUErh9XoJBoNEIhGUUvh8PorFIm63W+/TcRzcbjcAuVyOYrFIoVAgk8mQz+cpFAo4jkOxWKRUKp20LC9DJh3HaXqpC2GxWF5ZVIVAPRe8Xi+lUgm/308+nycQCDA/P4/L5aJUKqGUwuVyUSgUAHC73SilKBaLAFpwRJyam5vZtGkTy5Yt441vfCOlUon6+nr8fj8tLS1MTEzQ0NCA2+1mdnaWbDaL2+2mVCqRz+dpbW3F7/eTSCSYnp5mamqKI0eOMDs7y9DQENu2beP48eM89dRTzM3NvZRV93wYeqkLYLFYXnm8rARKLCCxaESUisUiXq9Xi1CpVNLbiwXjcrm0teRyufB6vdTU1PCa17yGK6+8Ep/Ph8fjIRAIEIvF8Pv9eDweGhsbmZmZYXZ2li1btqCUwu12MzQ0RHNzM0uWLGHFihUkk0k8Hg9tbW0EAgGi0SiJRIIzzjiDgYEBfvSjH5HNZtm7d+9LU3kWi8XyMkNVgwvq2br4vF4vLpcLl8slvyOfzy9w3bndbgqFghYkKAuWWFWBQIDOzk6uvfZa+vv76e/vp76+nlgsRiQSIZPJsG3bNrZv387u3buJRqPaAmtvb6dYLDI5OYnX62V6eppUKkUsFmN2dla7B3t6eujv78ftdtPf309DQwPz8/McPHiQQ4cO8c1vfpPa2lruueeeF6A2XxAedRxnw0tdCIvF8sriZWVBOY6zIJYk/z0ez4JYj8vlWrCNWFSRSIT169ezYsUKzjrrLKLRKLW1tYTDYerr6/nFL37BU089xc9+9jNGRkZYsWIFPp8Pl8tFKpVicHCQXC7H5OQkqVSKuro67d6LRqPE43Hm5+c5fvw4O3bsoLm5mX379rFs2TJWrFjB6tWr6ezsRCnF4OAgra2tzM/P893vfvdFrkmLxWKpfl5WFpTH49FuO6/Xi+M4FAoF7fIzBUziRFC2qhoaGlizZg1vectb6O7upqamhtraWnp6erjlllvYv3+/dv+VSiXtjvN4PORyOTKZDOeffz5HjhxheHgYn8+H3+8nl8vhcrmYnZ0llUrhOA6zs7OsWbMGn89HOBwmEAiQyWSIRqM0Njby7ne/m/HxcSKRCE8++SQPPfQQLpeLT37yky9oPT8PrAVlsVhedF5WAuX3+3Ech1KphNvt1u48KFtNxWJRZ9mZ51VTU8MVV1zBxo0baWtro6GhgZUrV9LU1MT3v/997rvvPgKBAK2trcTjcfbu3UskEiGbzZLL5XRiRl9fH0ePHmVsbIxIJML8/DwAwWCQiYkJ7XrM5/PE43FisRg1NTVEIhG6u7uZnp6mrq6O9evXU19fzyWXXMLIyAh9fX1s3bqVyclJHMfhXe9612+6ip8vVqAsFsuLzstKoHw+n37tOA5+v18nSchnSint8isWi2zcuJHzzz+fc845B5/Px4oVK/B6vezdu5df/OIXRKNRCoUCjzzyCMlkkpaWFrq7u+no6OC+++5jZGSESCTCzMwM8XhcC2QoFCKTyVAqlUin00SjUfL5PE1NTfj9forFItlslnw+TyKRwOv1Eo/H6erqYvXq1VpIm5qaeOc730ldXR01NTUUi0W++93vkk6n+chHPvLCVPhzxwqUxWJ50XlZCZTH41ngupP5S8ViEZfLpb8rlUpEo1H6+/t5//vfTzAY5JxzzqGuro6nnnqKW2+9ldnZWTo7O/npT39Ke3s7qVSKXC5HU1MTLpeLgwcPMjY2xvT0NNFolJaWFs4991xyuRzNzc0Ui0UtQtlsllQqRT6fZ3x8nFQqxfDwMF6vl/b2dhoaGjh48CDpdJq2tjaKxSLJZJK+vj5qamro6OggkUiwatUqNm7cyMaNG5mcnOR73/se9957L9PT02zduvUFvQbPgBUoi8XyovOySZKQpAexkmQSrAiTWDYy4bavr48LL7yQaDRKU1MTHR0dFItFbrrpJo4dO8bSpUvZvHkzPp+P1tZWhoeHmZ2dZWxsjGPHjjE1NaUz+171qlcRDoeJRCIAOk6VTqdxHAePx0MoFCIcDnPaaaeRzWZ5+OGHOXbsGGNjY0xNTen4WF1dHe3t7bhcLgYGBkin05RKJZqbm3nsscfYvn07yWSSnp4eVqxYwfT0NFu2bKG3t5fDhw+/hFfAYrFYXlxeNhaUmV4u8SYRJlnZAcqp6C0tLXzwgx+koaGBuro6crkctbW17N27l2KxiFKKW2+9lenpaU4//XSGhoZIJBJ4PGW9fsMb3qBXgvD5fHpCcF1dHfl8Xk/SLRQKJJNJstks4XBYp7NLkkV9fT3z8/NMT09z77334vF4iEajLFmyhKVLl9LQ0EAikWBqaorJyUkymQyNjY00NDSQy+V43etex4UXXkg8Hue2225j8+bNDAwMUCwWSafTL9DVOCnWgrJYLC86LxsLCk4sMyRCsHj5IrGiNmzYQG1tLR6Ph9WrVxMMBrnllltIJpNMT08zMDBANBrFcRympqZIJBKEw2E2bNhAV1cX4XCYyclJvfKDZOLJPKxkMonf78fn86GUIhgMUltby+zsLI7jkMvlKBQKHD58mN7eXnp6ejj//PMZGBggk8mwa9cuDh06xJo1a2htbWXZsmUsW7aM3bt3k06n8fv9NDY28t///d+sX7+eVatWcdFFF1EqlThw4ADFYpFAIEA2m32pLoXFYrG84LxsLKhgMKjjS5IOLm4zsaz8fj/XX389vb29dHV14TgOS5Ys4a677qK+vp6HH36YBx54gEgkQmdnJ48//jiRSITLLruMmpoavRqFiNDs7KxecaJUKjE2NgZAIpHQ6eUtLS0Eg0EymQwul4v29nZmZmbIZrM6kcPj8ZDP58nlcszMzDAwMMDY2BhjY2PU1dWxbNkympqaWLt2LT6fj0OHDnHo0CE6Ojp0DOxDH/oQhw8f5pFHHuFnP/sZO3fuXLDe3wssVtaCslgsLzovCwtKYk6SXi6WkznvSSlFX18fa9aswXEckskkXq+Xe+65h8HBQZYtW8bevXtZv349oVCIwcFB4vE4l19+OdPT04yOjtLU1EQ4HCYWi+HxePB4PJRKJVKplJ6AK+XI5XJ4PB6OHz9OY2Mj4+PjWjzFjRiNRnWqeqlUwuv1EggEOOOMM5iZmWH37t0kEgkGBgYIBoPkcjm6u7tpb28nHA6zbds2lixZwsTEBEeOHAGgtbWVK664gp07d+r6cRwHn89HLpd7qS6RxWKx/MZ5WVhQHo8Hr9er5zzJKuMiBmKpfPKTn6Sjo4Pu7m7q6+s5cuQI8XicsbExNm/eTKFQoKmpicHBQZYuXcoFF1zA8PAww8PDuFwuWltbcRyHpUuXUlNTw/j4OHNzc9qN53a7tSgNDw8zPT2NUopQKMTIyAg+n4+2tjYA0uk08/PzFAoFvF4vkUiESCSiEypyuRw+nw+v18vAwADxeJxHH32UUCikV5wIh8Ps37+furo6urq69DJKyWSSBx54gNHRUR577LEFK627XC4ymcxv+hJZC8pisbzovCwsKIktmWvrFYtFfD6ftlpCoRCNjY1EIhGWLVtGTU0Nw8PDJBIJdu/eTTAYJBaLsX37dvL5PGeddRb19fU6caJUKpFIJMhmsyil6OnpYWZmBqUU4XCY2tpaQqEQUF4yKRAIcOjQIeLxOJlMRlswfr8fv99PKBTSyQ/5fF6XW/Y1Pz+vY0mnn366tsqmpqZ44oknmJubY9myZaxatYpSqUQwGKRYLDI/P08gEGDNmjW0t7ezb98+SqWSdjG63W6CwSDACyFUFovF8qLxshAov99PoVDQbj0zW85xHMLhMOeddx61tbU0NTVRKpX4/Oc/TyAQ4JZbbiGfz3PmmWeyc+dOurq6WLlyJYlEgtHRUb1Ekaz6IP/T6TQ+n08vABsMBgkGg0xNTeH3++no6NALvgaDQW3lBQIBQqEQNTU1NDY24vP5GBkZIZ/P6ySNTCZDKBQiEolQKBR0jGvDhg1EIhH27NnDjh07GB0dZc2aNXR0dDA5OannfwFcf/31HD58GKUUd9xxB/Pz8zrWJa7QYDD4YsSnLBaL5QXhZfFE3VKppNfhk8diiFCVSiUaGhpYunQpjuPQ2NhIPB7XyyBls1mWLl3K4OAgo6Oj9PX16QcMptNpstkssViM7u5uenp66Onpoba2FrfbTTgc1haUZPLFYjGd4i6WytzcHC6Xi3A4TKFQ0G49r9eL2+0mEAjoycNut5v5+Xnt/pOyZLNZurq6KJVKdHV1cdlll1EsFtm7dy+PP/44LpdLW26pVIq5uTna29t54xvfyPr16wG0hSkxO1lhQyY4WywWy8uJl4UFJXEmQC9hJHi9Xs4//3xtfciqC8eOHePBBx/k7LPPZmJigng8zsaNG/UisceOHSOdThOPx9mwYQOtra36ibqyOGw+n9euNYkpmVl5fr+fQCBAIpEgn88zPT1NbW2tfpChCGldXZ3OOqypqcHj8eh5TLFYTCc5pNNpQqEQgUCAXC7HH/7hH7Jnzx727dtHPB6nt7eXQqFAW1sbn/zkJzn77LN5xzvegdvtZt++fTqJQ8TZTCAxl4CyyRQWi+XlwMvCgjJXkTCFSpIjli1bht/vp6amhl27dpHL5di3bx/JZJJAIMDhw4fp6ekhFApp16DX62V2dlaLXS6XW9ChAySTSZ2B53a79Tbi0gP0vKxwOIzX68Xn85FKpchkMjoRIpfLaQsmEAjo4xQKBb0CuqyaPj09TTabpaGhgVQqxYUXXsgFF1zA6OgoAwMDAMTjccLhMHfffTfpdJoNGzbw2te+Vs/tkmQOyUKU8xGXaDAYXLCuocVisVQjVS9Q4q6SBARxXblcLjweD93d3SxbtoxYLEZnZydDQ0OMjo4yOjrKBRdcwObNm/V27e3tjI+Ps3//fg4fPkwmk2H58uXU1NQwNTXFwYMHOXz4MOl0mnw+z9GjR5mcnMTn8+mHHRaLRYLBIC6XSydUuN1uamtraW5u1nOkZmZmKBaL1NXVaVehiFwgENB/iURCn6PEigKBAFNTU3oVi56eHt73vvdx7rnnMjQ0RDwe5+jRo6xatYqPfexjHDp0iL/8y7/khhtu0I8AgROPuzfXLgQWxKj8fv9Lc2EtFovlGah6gRLLQybRinUgk3XXrl1LoVDA7/frVSG2bNlCf38/u3btoq+vj3PPPZdQKITjOKTTaTweD5OTk7hcLhobG+nu7mbp0qUcO3aM+++/n23btrFz504OHjyo51MVCgWKxSK5XE5P0q2vryedTpPL5fSk3mw2SyQSIR6Pk0qlCAaDtLa2UiwWyWQyOj7V0NBAU1MTra2tpFIp0um0XoBW4mMSQ1NKEY/HaW9vZ926dTrNfdeuXXR3d/Ptb38bn8/Hb//2b9Pf33/StQol41FcjZJ0AuXHkUh2ocVisVQLzyhQSqlvKKXGlVJ7jc8+oZQ6ppTaVfl7vfHdDUqpg0qpJ5RSlz3fAorLTeZAyehfKUVnZyerVq0im83S3t7O4OAgBw4cIJvN6iy9jo4O7c7KZDI6BiOrP0gsKRqNsmLFCmKxGIcPH+bQoUM6TuTxeLTojIyMUCwWdeKBxKbm5uaIx+N4vV5mZmZIpVJ6gq9YfH6/XwtsKBTSrkIRJ4lFATqBolAoMDc3R2NjI47jcOaZZ7J+/XqSySTDw8Ps3r2b9vZ2Hn74YVpbWxcIlNSfrGO4WNzF1SiZf47jEAgEnu8ls1gslt8IzyZJ4lvAl4CbFn3+L47jfNb8QCm1CrgWWA20A/cqpU5zHKfI80Cy98RykafovuENb6C3t5czzjiDZDLJtm3bOHLkCL29vWzdupVLLrlEp4oHg0Hm5uaYmZnR7joRhkwmg1KKtWvXsnz5crZs2aJXNJ+ZmSGZTBIOh7n//vspFos0NjZSX19PIpGgpqZGl2lubg6Px0Nzc7NOwHC5XOTzedxuN8VikUgkQjqdJhAIEI1GCQQCOukin8/jOI5enHZqatdpXQEAACAASURBVIpsNqvdgbFYjImJCc477zwymQx79+5lbm6O+++/n3Q6TSKR4IYbbuDuu+/WYixClc/n9SK75pwyEXvHcchkMtraEmvQTEipJpRSjliAUn75b35mIhaluSK+vD/J/nX87mT7epZl/JXyiGtasjwlTijWcqFQWDCd4Nns+1Tne6rfmOtXAgvilLKdiRn7lWXFnqmMjuOop93AYnkWPKNAOY5zv1Kq91nu77eA7zqOMw88pZQ6CJwNbPt1Cmd2QOYzn8Sa6ujo0BbQoUOHyOfzhEIh8vk8S5cuJRaLEQ6HaW9vJ5FIEI/HmZ6e1ou++v1+/cgMc35VTU0Nra2tAFo4crkc6XRaWx/5fF5PhJV5WmKdFItF/V7ESTogSTuXuJTjOEQiEVKplJ64K/GtQCBAMpnUDzyUyckTExNcfvnlpFIpHcMqFAo89NBD/N7v/R41NTV6crAkcZgL7cojSWQbES7J8pPzU0rpOWHVhpRNBFeSX+Q76Uilbsxnhcn5i9Vqzqkzr6G0P/OBmG63G5fLpRNfzAQel8uljyfWaKlUIhAI0NPTwznnnMOGDRuoq6ujs7OTXC7HihUrOHToENFolLm5OcbGxti2bRs/+MEPOHr0qHb7ulwuAoEA8/PzunxQdn3LwM20nAGdyCOfmXUALBjsiVDKvSCrtcgUD4mfyrnK7yW2Ki5jn8/HzMzMC3fhLa8onk+a+f9RSv0h8AhwveM400AH8Etjm6OVz34FpdSfAn/6tIUzHlBodgRer5dQKER/fz+hUIhEIsGxY8d44IEHCAQCjIyMcNZZZ+F2u2loaODo0aMMDg6ilKK1tRW32834+DiBQICjR4/qx7enUinC4TATExNEo1HWrFlDJBLB5/MxNjZGLpejoaGBUChEKpViz549eh6T1+slnU7T1NTEzMyMFhdx501OTtLe3g5ANBqlsbFRZ/8dO3aMYrHI8ePHtaXj9Xr1skmycnk+n9erZWQyGf7kT/6Ev/7rvyYWi7Fnzx5e97rX8ZOf/IQ///M/51//9V85fvy4HrFLZyydk4gnoDt4EUjJXJRyVCumKJkWlHTa0nZMIZFOVSY2Q3kQIoMWiXNKXczPz+v9e71e/agVeW0OnuT4dXV1bNq0iT/90z+lo6NDz6H75S9/ydDQEPv27ePIkSMUi0Wmpqbo7u7m6NGjtLe309/fz4YNG3jPe95DbW2t3vbAgQPs3buX/fv3Mzg4CPzqAE4phd/vRylFLpfTAxo44RqXx8RIbNe0EGUAKLFWOUdTyE3LUupL2ixAKpV6ka6+5ZXArytQXwE+CTiV/58D/hg4mVl/Ur+D4zj/BvwbnHotPukkpaOUzkFWDfd4PDQ1NTE8PMy+ffvweDxMTU3pjl9GfB6Ph2AwqLPwxE0nbqxkMqk7ulKpxMGDB+nt7dVzmUx3TENDg74p5VlQ8tyoQqFAbW0tyWRSu8xaW1v1qhLz8/MEg0H9ePdsNksmk9HLJQ0NDekHI2azWTwej7YS0um0tnrm5+dZsmQJo6OjrF69mieeeAK/38/u3bvZt28f69evp62tTc+LMupcdzQyApfOTSwK09oyY3/VhsTOZNQ+Pz+vr4FY1WLJmCvem/FDs6M1LR85Z7FWpD5EBKUtwomOX/Zx2mmn8ZnPfIbm5mZ++tOfMjs7y2OPPcbg4CCpVAq3200ymWRycpKpqSlcLhd79uwhHA4zNzfH/Pw8e/fu5cc//jHLly/XMcdLLrlEu5t/8pOfcPPNN3Pw4EGdhSnHF2tKBEjei9UH6GxYESfTgpRzFytakmtkcCPWPpywKGWgI8JdrW3G8vLj1xIox3HG5LVS6uvAjytvjwJdxqadwMivWzi5yRbHTSKRCBs3bqS+vh6/38+jjz7Kzp07WbZsGVu3bmXNmjWEw2EOHjxIZ2cnU1NT+uGF2WyWubk5vdBre3s7Q0ND1NbWks1m2bt3L9lsltHRUU477TQKhQLT09McO3aMUqlEW1sbjuOwZcsWEokEp59+On6/X6eXt7a2ksvl2Lt3L62trcTjcZ2sEQgEaGxsxOPxMDMzo2NMkrXX09NDa2srLpeLQ4cOMTU1pZ8x1dfXh9frJZlMaoHs6Ojg8ssvp6enh927d3Pw4EHe9KY3ceWVV7Ju3TouvvhiXC4X8/PzCywJ080jloGMqs3RcDVjuiLFjSqTkQuFAul0WrvFpOM0RUyERjpTaVtifZluwMX1JW4tQK84cu211/Jnf/ZnuN1ufvSjH/HDH/6Q6elp7r77bv2wy2g0qh+eOT8/TygUYv/+/bS3t9PU1KRXCunt7WVkZIQf/OAH7Ny5U7vfenp62LBhA+9///v50Ic+xIEDB/i3f/s3brrpJn3dRFTNhZUXW3mmxWzG4GRag+kCNN2G8hga+Y20EymfDAoslt8Uv5ZAKaXaHMcZrby9GpAMvzuB7yil/plykkQ/8PCvWzjzcRrmBN1wOEx/fz+BQICdO3dy5MgREomEfux6JBLR7rVSqUQ8HmfFihW0tbUtuLnm5uaYm5tjeHiYXC5HPp9nfHycYrFIMplkfHyclpYWAoEA8XhcWzGFQoFcLkdvby+nn346xWKRkZERCoUCdXV1pFIp3Ul2dHTolSxOP/10PB6PHtHm83my2Szz8/Mkk0kaGxuJRqOkUind0c7OzpLNZunr69OjfllUtqWlBZfLxapVq3jooYcIhUIcOnSI7du3s2nTJp1lKHEVMznArFcz3iL1I5OZZXRcbUjnGAwGdXKJrPQhi+vmcjmy2ay2sMTqMoUHFlpBEic04zziIpXrJp2wWG+bN2+mr6+P73//++zatYvh4WGKxSL19fV0d3frWOf+/fuJx+PE43GKxSKrVq3i9NNPx+VyMTIywoEDB2hoaGD//v10dHTQ1dVFMpnE5/ORSCSYnJxkYmKCO+64g1e96lW85S1v4dOf/jRLlizh29/+Nk899ZQWJDiRCWoKsZRZrE85f0C7qiX+JOIv20iM0hzMmBmhspCxuEUtlufLMwqUUupW4GIgppQ6CnwcuFgptZay++4w8G4Ax3EGlFLfBx4HCsD7n08Gn3TI8lo6jv7+fp0p19bWxpEjR2hsbOTAgQP09/fruUu9vb3Mzc3h9/uJxWI0NDTozunSSy8lmUwyNDTEyMgIU1NTQHlOkDzHaefOndTX1+sYFJRXcVi2bBnXXHMNSikymQy9vb3aZx8KhXSWYKlU4tChQzQ2NuqV0SWJY2xsjJmZGZ2iDrBmzRpisRjbtm1jdnYWt9tNc3MzpVKJ/fv343K52LBhA/F4nKeeeorR0VE6OztJp9M0NDQQj8fZu3evXiPw2muv5ZZbbmF+fl7Xn5kMYLr5TFESwVqc3VVNmNmJcj6APtfF6xCKVSRWlrmdubaj1+tdMLVBOmuZAC31EY1Gee9738tHPvIRfD4fH/3oR5mbm2NgYIAVK1aQSCRIJBIMDw9z/PhxcrmcjjG94Q1vIBqNLrB4LrjgAorFIj//+c8ZGxvjyJEjelJ3d3c3brebjRs3UiqV2Lx5s3ZFr1q1ive85z1cc8013Hjjjdx1113E4/EF0wtEdM3EEdMykutsJiBJcoe41YEF7j8zG1A+d7vdVbswsZn1WXmv/5tZiifLdDTfnyxL1IyFmvs/VUbpr5sV+mwxE6LkeGbZF5dz8Xcny/RcvK20IXkvVvlizEzZk9WpkYg06ThO0+LfP5ssvt8/ycf/8TTb3wjc+Ez7fTYsPjFxR0WjUQCy2Sytra0MDQ1x9tlns3PnTlavXk08Hqe7u5tgMEg6nV4wQjZdhaFQiOXLl9PR0YHH42FiYkILgXQestyRWDVjY2M6w05GlRIXkmQLsY4KhYJO4pD5UDKaz+VyOoZlXlixEGV1is7OTh2bkHlVNTU1zM7OMjs7y+TkJM3NzZx77rnceuuttLS0EA6HGRwc5Mwzz+See+5hdHR0wc0kHbJTWSrKDJqb6x7K9tWKxCbN525J2eWamwF+QKfxS/KHvJfBg3Tmsj+xtOQ6eb1e3vWud/Ev//Iv3HHHHbzjHe+gWCwyNzfHOeecw9lnn83dd9/N0NAQK1asoLOzU1tC+XyempoaPeCRBX+lTW7dupVSqURrayvhcBiPx8O6devw+/3s2LGDL33pS3R0dHD11Vfj8Xg4cOAAd999NwcOHGB+fp6/+qu/4gtf+AJvfvObuf/++xfMbxMrSrwK0nbNxBgz8UHasPl7MylELCUzoaSaY1CS9Qlo0fV4PHoAYnoX5L+Z0WmK92JhNifBy+DOdJWb7alQKCxoi4vjwWZGqhxHxEbKYWamSnsXN7e4ZaXtyoNVZX9yzRe7ek0Pipy71JVYy1Jev9+v24YMxguFAsFgcEHcV9qb2edIHF62k/3Pzc0Nney6Ve1isXIR5ILKqCOTyXDGGWfox2J8/etfp7m5mXw+T0tLC7lcjubmZpqbm8lms8zOzjI1NUUmk9HPbRLXhSRA1NfX6+wrn8/HAw88oCfxptNp+vr6CAQCjI6OMjExQSqVoqGhgVKpRDKZZPfu3aTTaUZGRlBKcfz4cWKxGG1tbRQKBZ588skFqcIul0snbYyPjzM/P68XqhURm5mZ4ZJLLqG2tpahoSGGhoZIpVI88sgjtLa2EovFSKVSTE5OAmVX1xve8AYGBgbYvHkzV111Fb/zO7/D8PAwn/3sZ39lBCMxA2lkkmosN5OMvqo5iy+Xyy1wJ8lNLGn2i0f8cjPKNuL+9Pv9Oktycaq2iIrUyT//8z/z1re+lb//+78nkUgwNDTEpZdeSjQa5fHHH+cXv/gFwWCQ3/qt32JoaIi5uTm6u7tpa2tjdHSUDRs20NjYqBM57rvvPvr7+9m9ezdr167F7/dz9OhR3Qa2bdum58pdeOGF7N27l6985Sv09/dz1VVX4fP5uOeee2hvb+dv/uZvuPzyy/mv//ovvvCFL3DjjTdqd7MIrdnRSJuUjkosS3EvQ7nzNQdcYmFmMhltVZou0Gq1uGFh4ofpLpeO3vQgBIPBBYPHxdaHy+XS4iZ/Msgz3aHyXvZhpvqb+zZdytJezSQU04MkSU2mm9bv9+trbK4buniAKdff7/cvSCAyz0+uv4iLJGzBCStZRNBcY1TKI3VhrveZz+f1+ck8T5m283RUtUCJ4puxKEnbFiE4duwY0WiU6elpnYQQDAaZn5/Xi8HK4y3q6+t1rMkcQXs8ngXpsQ0NDdrlF41GWb9+PUopnRl37Ngx3bkfP36c8fFx0um0fq7T7OwsfX191NXV6Qu2Z8+eBStT+Hw+Vq9eTVNTE4cOHVpw3tlsllAoRDQa1QkO0viSySTHjh2jrq4Ox3GYnJxkfn6e7u5uWlpa2LJlC3V1dQwNDbFr1y4uueQSPv/5zy8Q5cU3jmFm605GOq5qfuihuKXE2pWbWG4Uc9QPJwTMdOM4jqNvQNPVI7Emj8ej12z84he/iMfj4SMf+QgDAwOsXLmSq6++mh07dvDkk08yOzvL2rVrCQaD9PX1kUwmmZqa4uyzzyYYDOqHVxaLRZqamshms6xYsYLBwUFe+9rX6vhQe3u7buPpdFrvf25ujuXLl9PW1sbu3bv50pe+xOrVq9mwYQN+v5+nnnqKn/zkJzzyyCNcddVVjIyM8JrXvIYdO3YssAjF6hQvgAzcMpmMjt2ZbmDp1IEF0yfErS3Wl+k2rjZMETCfxi11Ih2w6RY1Mx3NWKx5njKgNL0jcKJtmpap2S5NC1XKJ4IvxzVd16a7UNqmGf8zM03N7GfZz+LBgwz8TWvaNAbM62gOYqTuxICQ35oeBnN5OtMtLr8TI0HK+nQiVbUCJSMNqRw5aXn8eTabZXx8nEcffZSLL76YX/7yl3R1den5RZKkIMHqiYkJksmkrgy5KaWxNTc3c8899+B2uzn33HM57bTT2L59O+vXr6e5uRmXy0VTUxN9fX088cQTPPjgg3qUOTk5idvtJpVKEYlEaGpqoq6uTi+R1NjYSFdXF7t376ajo4PGxkZSqRS1tbWEw2Gampr0MknSCOrr6/WNcuTIEWpra6mrq9Op40ePHtWNb3x8nEgkQn19Pfl8nqamJvbs2UN9fT3nnXceNTU1evKkNDypT/NBkGYDNOMS1djpyA0tncfiJZzkxjNvNvMmE+GXqQeLs/TMm6mmpoatW7cyMTHBN77xDQ4ePMjrX/965ufnefDBB9m5cydut5vzzz+f+vp6li9fDsBFF13E8PAwXq8Xv99PXV2dzgatq6tjampqwcr4gUAAv9+P1+vVKen19fWsXLmSqakp2tra9NOXzzzzTO677z4eeughpqen6ejoYMOGDcRiMe6++26+//3vs3XrVn74wx/yzne+k7vvvltb6qYnAVjQ4ZmdiXS6IuLSHmUgJlmRZkJNtVrc5mBGXFLmAz6lwzWFQNqTWIuO4yxIIJGEFOmozTYl9SmuUJmKYt5L4q0QYZGEHrEw5ufndeKKiKmIAaDbvBzfFDlTSMwYs7w3LTO5h2Rf8kghEa3Fmb7mYEfai/SjpvBJuSSGK65gKf/iZKWTUbUCZY4iZCTsdruJxWIAtLW1cddddxEKhRgbG9MTWxsaGvQ8JDNQfODAAdauXUskEkEpRSqV4uDBg3R1dVFXV8f09DR79uzhggsuYH5+nv7+fh544AH9vKZMJqMrcvXq1fT19QFlC0vmMXk8Hh588EFCoZBuKBMTEwSDQbxeLytXruTw4cNEIhFCoZC+sYPBIC0tLczNzel5WZJNFQgEWL58OUop5ubm9IKzU1NT1NbWajP56NGjzMzMcOWVV7Jv3z46Oztxu92Mjo5yySWXcNddd2nTXBqdNEJp/FIec/QsI+VqQzpQc6UO059vjgTF3WDOWRNBNl1UMrqVm1UpxZe//GXe/OY3c9111xEOhwkGg1x99dXcfPPNPPnkk/h8Pi699FLGx8dZu3Yt4XBYJ9ZMTEzoDlDmvomLWGKpsViMubk5xsfH6erqYunSpUxPT+vlsMQ13dzczJlnnolSSrufNm3axGmnncbg4CAPPPCAzv47//zzOe+88/j5z3/Ohz/8Yf72b/+Wa665hhtuuIGJiYkFsSZzwCLuG7lnJMNT6tBcEcXM9jPnVVXjYEaQMpquJbMtmIk34XBYLz1lusLNlHxpO3K/mAJkxj7NGJBYOuIpkeObFp7cc+aUBvmt9IdSTqXUgvKZbj/TfWfO+5OyyZQLQIu3DN7ENWiKkbkvcVHLccw6FKGUdiICLLFO8Uo8m2ktVRsBNy+IVKjEDuRGGR4eJhwOk0qlCAQCemTndrtJJBJ6BJhOp/XaeBJnCYVCeiY/lC2q2tpaPWKWCpTAqjREcYvIiEoyrWT9OnncuyxpJGv/OY5DLBYjFovpNGNpWLLmnVgr0gmIO7Onp0efn8Tl3G63jhdIOeQcpqencbvdPPnkk4yMjLB8+XIdS5C6Nc1/M1NLYg1S3083unmpMS3rUCikOwm5qeVmlroyb1TpCBa7SGR/0WiUj370o1x99dV84hOfYHx8HI/HQzgc5pZbbuHxxx9n5cqVrF+/nsHBQdatW0c4HKahoUG7mYvFIrOzs7qTCoVCxGKxBckcgE5qGR0d5fHHH8fr9eoVTOLxOIVCQWfyNTQ0EA6H9Zyq+vp6IpEIr3vd6/D5fAwMDHDnnXdy8803U19fz2mnncYXv/hFrrzySnbu3KnjrNLJiQVnxunECpAOSOJ0ZtKEmWwkbbaaXXxm3MwUErE2JKYkbirTGjTdaVC2dOW9PHpHXOhyf5pTO8StK78Ry0jqb7EAmdaZHFP+SxKPfGaKmSwoIAMtKYMMSuXaynamOJmuQemHTKtN9iP3nLiJc7mctpTEzSv1Ydad1Jn0NWJRyXenomotKNNdI8peW1tLV1cXNTU1BINBRkdHCYfDTE9PE4vFdPBZ5g+JkstTbgcHB+ns7CQWi5FOp1m9ejVbt25l6dKlNDY26mC0ZKS8+tWvZmxsjPr6ei16Ui4Z/ZgxLZervMKFCI4I1OzsLMuXLyebzdLW1kY2m9XPmmppadEjGXEnBINBSqUSO3fu1EvlSIOShiCp6fX19TpDUOZrSRq64zjU19dz6aWX8qpXvYpt204siWgGQiVZRBqVNGg4kalUrUjbSKfTCyYimwJg3iSSXWRakqYrJJfLUVdXxz333EMoFOKjH/0oBw4c4E1vehOPPfYYt956K3V1dVx55ZVEIhHC4TD79u0jFAotiDnKqiMrV67Uy2BJyrh0FNIJJBIJstksAwMDeuDwqle9SmeQdnWV576Ly3rZsmXMzMzgdrs5fPgwU1NTpFIpurq66OnpoVQq8eCDD7Jjxw6uueYa3va2t/Hxj3+cTCbDE088wXvf+17uuOMOXTfiIoUTrjA5lrQLWYlfWOz2EY9BtWZ9Sl8gYiFuTbnXZGK3tBszwUa2NQc38t5cp9K05mFhOr8koIgQyfdS9zJglWSl3t5eNm3axOrVq+nt7WVmZkYvBCDhC9lvNBrVD2XdsWMHBw8eZGBggEOHDi3oCxcnYwDa8pJBiHiCzGttLtKtlNLnIQMtWZFHLCJzxR45rgig1K30P6bL72RUrUCJUou56nK5iEQiRKNRnQ5sBhHFrZbNZrX/XkZAZgDcrKyamhodK/J6vdTV1TE3N6eXMzKXdTGDpaFQSI/Ia2pqtP84GAzS0NDA4cOHF5jbYs3J6EjWZjt+/DiHDh3Sa/Sl02lSqRShUAifz0cymSSZTFJTU6OFcHFCh9/vJ5VKaZeB45TT1OPxOC0tLUxPT1MsFjnjjDPYunXrgsCoxEZmZ2f1eZgiBSefO1ENmIkPgLZopc2YIiudvrgXFsdZzECt1+vl4x//OPX19Xzta19j//79XHrppdx88816ILRs2TJWrFhBbW2tzsoUKy0Wi5HL5YhGozQ1NZFIJMjn8zQ0NOh2Jm6URCKhO0dpxzLJXDqfWCymk2amp6cJBoPadStpxNL+ZmdndZr6xo0b2b9/P7fddhujo6OsX7+eo0eP8sADD/C5z32OPXv2cOjQoQWxGRkkSUcsHgk5jgiWmWxgugLNzrkakQGJtAcRDWk3cEI0zI5TLGs5P3n6gdn/mIF+07Um20gdifVmuv2UKi+Rdd1119Hb26s9KPLkg+PHj7N//35SqRRTU1MUi0XdB4bDYVwul14lp6enh6VLl3LFFVfQ3d1NPp/nscceY/Pmzfzwhz/U52m68USEM5mMdnubSRUyqDO9EtK/mVnRMmle3HZiTUnfJy7rcDisBz3SF52KqhQo03oy6e3tZc2aNeRyOR5++GFdUS0tLbS1tembLRAIaDdeIBBYMI9IGoiY/GeeeSbFYvmRG5Luu27dOmZnZ0mn09TW1upOrKWlRQc8xUw2g5sej4fa2lq6u7s5fvw4jY2NABw/fpxMJkMsFqNQKD/mPRqNsnTpUkqlEtu3b6exsZHdu3czMTHBWWedRWNjI+Pj44yMjDA4OKg7H7mxTP9vS0uLfv5VKBSit7eX7du3s2TJEoaGhqivr2fVqlW6gUkHJDEHybZZPM/jZGmq1YJp+UhnKR2L6X6R1SUk2CwdixkQNv3gt912G+vWrePzn/88Bw4c4Oqrr+bOO+/kyJEjbNiwgdbWVpYtW6Yt7lQqpQcCgJ7jUSqV9DPGzGSMSCTC8ePH9WCiUCjoDMSNGzfqid4zMzPU1dWxYsUKCoUCiUSCpqYmPYBobGwkkUgAZVENh8PU1dWxfv16PVH77LPPZmhoiNtvv52RkREuvPBCfvzjH7N9+3a2bdvGBz7wAW699dYFsTpJvYYTK1GIG8mc/Cn/pYOWwZiZol5NmIlAwILEGjOhQO4Rc26gdKJmXNu0tMzPRIRkQCTHFOEXV+K5557L+9//fj0NYMOGDezatYt7771XDySffPJJfc+nUintYpVjSdm93vIDUKenp3Ech1AoREdHB5OTk6xbt463ve1tvOtd7+K1r32tjmc++OCDfOMb39BZh6aFKOJkDtqk3xPrSu4f+Z1M25DBv9SjbG96OUQAzdj3qahqgRLzGNCpuY2NjToRQrJwJM4g69qJIPl8PqLRKF6vV2fFiAtQgotmLEZGw+KrTqfTzM7O6riSuO7ELSaBd2mIUL5h5VlPknouC75OTExQV1enL5iMMNasWaOzvSS5wZxUKWv2yZNvAWZnZ/UNJqmpoVCImZkZ+vr6dLZSPB5nZmaG7u7uBZlapits8c1XKBQWCHk1IuUX16qMdiXILzezuB/EcpSOVCxsM5Nt3bp1vPrVr+ZrX/sajzzyCH/3d3/HP/7jP2orqq+vj6ampgU+fmkXcsPNzc3pLC4oxyvEaoJyrDMajS6wvuvr6+nq6tLtMRgMkkqlFmSkSsZiMBgkmUwCUFtbi1KKc845R4/spa3L8VpbW7nqqqu4/fbbyWQyXHzxxXrQc/311/ODH/xAp/wKMsFdOh8ZKS/OQFvslZBtqxEz4UCsQ4nhSnuRhAWz4zddwlJHprVp7tuMI4sAmh6Lmpoafvd3f5fOzk5aWlpYtWoVw8PDfOYzn+Gzn/0s2WyWqakpPRgwQwVmevzijLx8Ps/ExIS+jwuF8rPpisUi9957L//zP/9DLBbjsssu46qrrqJYLLJixQo++9nPsmPHDr75zW8CJ6ZhLI5HmklScl/JdtI+4cSqLebqLqY1ZmZOmqGSpxsEV61AmSIlF37JkiXabfKzn/2M+vp6Dhw4wIoVK4hEIoyNjekgZ0dHB0eOHKGuro66ujpGR0e1mImrxkw3np+f1xNqd+zYwZIlS/RyNKL+0sBlop90Fl6vl+PHj+ssQ6WUtrzm5uZYunQpNTU1pFIpbfqa85Fqamro7+/XJrLf79eLcsoyTcViUWcwiqkfDoeZnJzUDVhiWaVSib6+Pubn5/WcmY0bN+qym8/1kVGv1LnZ2hs6mQAAIABJREFUyBbPnagmpO5Md6W8lzKbI0JTbKVDMl3A4XCY66+/nq1btzI1NcUHPvABHnnkEXbt2sXZZ5/N6aefTiAQWODWE3GKx+MLRMmcUCl1KWIGaBeRlK2uro7m5mbdppRSRCKRBYFsSbows7GUKj8+JhqNanESV5SsRpLP52lra2PDhg08+OCDrF27lmQyyTe/+U0++tGPcs4557B9+/YFQftcLqfdL2ZHZB5brFIRJomfVGuSBKA7RI/Hs2DRW/PczKw1QN8TZvsR4Tbfm24t+V7ut7/4i79gfn6ezs5O1q9fz8c+9jHi8Tj/8A//wPj4uPZgmG1ZMj+TyaR+VlgoFNJuODmGiKgkWwE6BGGm0R87doybbrqJ//zP/yQUCrFs2TJuuOEGrr/+el7zmtdQLBb53Oc+x65du/T9Ii5RsfzkuKZQSp8jgiRt1IyzSuasJEOY8SuJaZ2KqhUo+W+6FOrr6wH0xFa5IJI1l8lkaG9v1z5zWaE8Eolov66Z+SXuuWw2y+DgIKVSieXLl+sLLKMYcd9Jxy4BVZmTIAu++v3+BSs65/PlxWCnp6d1xyYjIhkhJ5NJ3fmIkMo6g2Y8QJa+kVGIz+fTnYjUj2Q55nI53XAaGhqYmZnRWYmyvTQOOJFKKg1NOqpqjT/BCStbArZwwpduptPKZ6b7RlwV8p3L5eLf//3fufjii/niF7/Itm3byOfzfO973+PSSy+lp6eHSCSiRUQs9dnZWf3gSRlpigujWDwxl03KJBa1CJzX6+Xo0aM0NjbqJA4RFWk7Ip7mLH2Z1pDP52lvb6empoaGhgbm5+epq6vT1tTY2BiO4+iV8y+66CJ+8IMfsHr1ajKZDF/96lf5p3/6Jz74wQ/y6KOPasE024EMXkw3l+OcePqyXAu5l6pVoGSw5ziOjuNJbETa/uL7QSwB6VClPZmDC9OLIW1D+oHa2lq+8Y1v8MQTT9Df389//Md/8OUvf5lPfepTdHd389rXvnZBlrJ04rW1tbjdbtasWUNfXx/19fWk02mOHj3KyMiIfnr2hg0b9DJf+Xye6elpjh49qp/sLeUVD4+IRSqV4vHHH+fGG28kHA7z4Q9/mMOHD/OVr3yF973vfezdu3eBu1+sSakjM9tPBsQy6DNdg6bYykRw+Y3ci3JvnIqqEyg5OVFwucGh7Hevra1l69atuN1u3fFLwLC3t1dfMLnJpHIuv/xyhoeHGRgYIBaL8dhjj5HP51m7dq12nS1fvlyPdsfHx3VihlSsZNocOXKEmZkZvTxONptlcnJSL70j82AkoCnL13R2duoZ/ObNLIFaEdUnn3wSt9tNa2urjhENDg7S2tqqBVBiHaFQSJvRItiDg4MsX76cgwcP0tzczMTEBNlslpUrVzIwMACcECjpzKVjkpGg6eeuRkwXrZRd3HlyM8l/uSHEMoATq2a43W42bdrEmjVrGBwcZN++fbzvfe/jX//1XwkEArS2ttLc3Kw7NXGdpNNpvbpCOBymUChQX1+vpwLI9RQxikQiTE5OaldPIpHQz4OSskigWQZUUk6Z2gDo7D1AT96V55ZJZyQCJVMxotEol19+OVNTU6TTaR5//HEuuugi3U7+6I/+iF/+8pd6+oTZeZvxJHE5n2yQIwOAahUoM91bXP3iTk2n0zrt2e/3L3g8jZyzdMSm+930WITDYe16LZVKfOlLX2LLli089dRT3HbbbVx44YVcdtllLFmyhK1btzI6OspVV13Ffffdx/z8PI2Njaxbt063j6amJu0Jkr5i6dKl1NfXk8lkaGtr00lcx48fp6urS/cFYj0dO3aM73znO8CJR6mIIBeLRdatW8fb3/52fvazn7F7925SqRRvectbuOCCC9i0aROO4yx4YKf0pTJQlv5ZrCz5TOrSdIHK53JfiiAvzrhdTFUKlBkXghMB2Wg0qkeQqVSKXC6nXWqBQIBEIqHnMrS2tupFUjOZDN3d3QQCAZ2WK64z6UBqa2sXdHSSQSOxHHNEMjw8vEB85ubmCIfD2mITN5k0FrGcRkdH8fv9+nHykr0l5yfHl0wXMYmlocTjcf3e5/PpgLvcMFJWGdnJ8k/Dw8MLkgSABZ2JBEGl7uUzc85FtSFuWXHViY/edKmZmaDi/pIONhKJ6JHfZz7zGWKxGLfffjvNzc3ceeedjIyMsGnTJnp7e3VcsVQqLwuUTCZ1xzQzM0MkEqGzs1PHFyWhRQSsUCgsiJk++uijCxYhHhsb09ZQd3c3iUSCuro6isWijjnKU5wlqULarKS6y7WUgdvevXsZHBzkda97HaFQiLm5OWKxmF5GaW5ujpGREb761a9y7bXX0tLSwvj4+K/EW0wr1EwskJE1LFyloVqTagAdH5P4by6X094GEWTTShJBM1fLgBNZwZLoInUhyRGXX345hw8f5sILL+Tw4cMoVZ4c/KMf/Ugv7tzU1ERNTQ3XXXcdO3bsYH5+nlWrVv0/6t40uNGzTBu9XkmWLWuXLNuyZXlvr71v6ab5EhI6wzYwWUgIBDhTTEEYDpnJ/DkpZoYzNfxhAhRDaoZTNSwDX1HQAwxZOmSDpJtOJr3vtru925ItS5Zk7bIly9b54b7uftQsCZwM4/NUpbrT7bb1Pu/z3Mt1X/d1w2g0Ip1Oo6qqCu3t7bDZbBgdHRXtOjLzmKWtrq7C4XDIWaYGaTwex6lTp4QFzL+jsEEul0NXVxcmJyexf/9+3HfffXj3u9+No0eP4vjx4/jmN7+JRx99VJAB2ljW6lR4lM6fWRGdPwND1uqJGqgB428iw6lrUzoo/qpSV9va2uB2u2E0GjE2Nib4P2c8MfIrlUqor69HW1sbvF6v9P7wAG3ZskUK1ByBwVk7TqdTyAc0RnQuZM4tLCwgnU7D6/WiqakJRqMRZrMZ+/btg9VqFcPPgjwNUCAQwLFjx0RUtqGhAVu3boXZbAZwU4YnFoshHA7D4XCgsbFR6O9NTU0yJnx1dRW33XYbamtrRfKIEKPRaMTc3Jw41FAohJmZGczOzmLbtm24fv269E2pRWNV9ompt4rFb8bFz0x4U43oacRpMJlZqMGDXq+H1WqF3W7HD37wA5nf9cwzz+DOO+/Eli1bYDKZhBVHRRA6f2axiURCoF4GByRAqLTa9fV10W2knmNdXR2WlpakvphOp+F2u2E2m2UgZ6lUqqB5MwNzu93w+/0V0HUoFMK1a9cwNTUFo9EopA2z2Qyz2Yx0Oo2Ghgb84he/wAMPPCDq/O9617vwk5/8pILVxoxK7RdT2ZOqEyObbzMvfnaSUFTYis6HgRqfnYaW/57nSSUTsfHWZDLhiSeeQLFYhNfrRSwWw1NPPYWamhrRZOTPZw9VMpnE9u3bkUgk5HtmMhkYjUbEYjFxLHq9HuFwGJFIRAKXQqEAl8uFpqYmJJNJ2Gw2GAwGhMNh5PN5vPOd78Rtt92GQCAAo9EIk8mEaDSKpqYm6PV6XL58GS+99JL0Y9psNjz77LNoa2tDc3Mzjhw5gocffrgCHgRu9nupLR4qixO4yW5UkSfCwyrLURWU/U1r050qHgAVWtI0DXV1dRXQQiqVQrlcFqNM+RfWF0i3JP1RZd0wZWcfBKMAFn3z+XwFbsuIgFpm9957L+x2O1wulzT68fuqTB7WgHQ6Hdra2mA2m3Ht2jVcunQJ4+PjeN/73ofp6Wk4HA4UCgWpbZRKJUSjUYEWGS3X19cjEAhIozKFO1VqfbFYRG1trexfPB4X6IdQqIoBq4eOe8T9U43QZlzFYrFCdZpQglo3UR0XFRRIUjAajXjsscck633qqafEAW3duhXATRYesOE86uvrRf0+n89LN32xWEQsFoPBYEBLS4swTVkrzGazMhqmUCigra1NsjIaDGZ5RAKYIfJZi8WiyGT19vZicXFRivGZTAbxeByxWAwtLS1ouzELbXl5GRMTE+jq6qqAhi0WC5599ll0dnbihz/8IR555BFcvXpVmoVVZ69m0Srjk30tAH7NiG22pbJUGbyofVHAzWyRhlQVNFUDT34NkQfWgnft2oVCoYDBwUFMTEwI4uH1etHR0SHkKIfDgerqakxOTgrBZH19Y+abz+dDc3Oz3GtC8FNTU3K3C4WCZLuxWAwWiwWdnZ1yTqmcz6zdbDajqqoKdXV1aGtrw8mTJ+Hz+eB2u9HU1IR8Po9XX30V6+vrOH/+PIAN2Lq1tRWPPPIIvva1r1UQjrhXwM1GeXXPaEO4f6okFAlmDKrfrISw6RwUcFPJQK2R9Pf3S9bEiMZsNotRSiQS0ifCTKCmpgb9/f24evWqRDiMhlXGjcFgQGNjI9bX12G325FOpwWuyeVyosPHPhhuNJ0JoUDCIOT76/V6abosFArYu3cv/tf/+l9wOBwYGhrC+fPnYbFYcP36dVFQz2QyMJlMUqOgwbRarSiXywiHw7BareIAWdci1ERJJIfDgcnJSaTTaZlrtW3bNvT29mJ0dLQiEiaccWsth8+wWZdKGafxYH2P9HM6Zv69Ou+JzbSTk5Pi5EKhEA4cOIBSqYS6ujrJzkulUgVbsqenB8ViEel0WupSAKQPTlX+WF5ehsPhgE6nw8DAAGZnZ8VQjYyMYG5uTuoN7Nsjq0utK9Ew2u12LC0tybuhoWVGplLDU6mUNPXyXi0vL6O1tRUTExPSRO73+7Fv3z5cv369IiNSAy4aa9buVKVuNUjbjIvnnPed+8X6L39VHZnKYlUJFaqNIQngkUcekXE3J0+ehMFgwHPPPYdyuYyBgQEYjUbRY2TwS1RkfHwcnZ2dSCaTmJubg8vlQnt7OzRNQzqdRjAYxMTEBHK5HNra2hCPx9Hd3S16iGyLYdBpt9sRiUQQj8elNl9bW4tEIoFSqYQHH3wQADAzMwNg453dddddWFtbw7lz5/Dzn/8cq6urUkL56le/iscff1y0PLkf6r6qZAp+De8ig0juP23Nra0Lv2ltSgel9hvwMLBeRKo2sU1+HT07GTCEVOx2uzStsceIB4SXiRtHo5bJZGCz2WRjU6kUzGYzmpqaKqi4/D0NBesgzEbIqjObzZLFMcMbHByETrchYptMJjExMSHPQcUB9WVzSKP6UsvlMvx+v8A0hOqoy0fR3Ewmg3w+LyPiaehYlFcjHDp8Zh+bdRFOUIushE1o1Glo2CKgsv3K5TLe/e53Y2BgAEePHsXk5CQGBgZEuFXTNCl6k4yiUmYBCLOSAwYJW1CfLZFIoLa2FlVVVchms7KflK+i0evp6UFVVRUaGxtFComOhBG+Cq9Rhoi1EUI+LNwnEgmsrq4im81ienoaU1NTcLlc0vpQX18vAdiVK1eErffRj34Ux44dw9TUVAVtmA6QdGgGNDTOvD+buf6kZkq8+6o0k8riU9mzal2TBBg1a9DrN/QR9+zZI7VHg8GA69evIxAIoLu7Wz4D3xvl0Jh9891SDaepqUnsUTAYRDweh8vlkropM3LqKFKkQA2+9Ho9/H4/NE2D2+1GNBoVm8WhgSR4EUYsFou47bbbcOLECWQyGVy/fh3d3d3o7OzE4OAgLl26VAGps28MuKmsToSCe8T95t4BqLDPbxbQbLoTRaNCg2kwGNDR0QGn04lMJoOZmRlEIhGZRcNNYfRMdfFAICC03t7eXgSDQVy8eBEARNx1cXERNptNpIG44bW1tZienhbl6dXVVXR1dYkBoCOrrq7G+Pg4Ll++jEAggEgkIuyyWCyGSCSCsbExTE5OYnFxUQqtlGLatWsXPvrRj+IjH/kIHn74YXR0dMBiscDv96OlpQWrq6tCxuAzlkolLCwsSPbX2Ngoz2MwGCqonCsrK2Kw5+fn0draCpvNJk6MtFiVWq72J9BJbtal0lnJuCJUpkIHLChzjACwYYQOHjyIwcFB1NbW4tSpU9DpdNi6dSscDgdisVgFK4nGiCQUOhGSUxgZEq5hVEt9yNbWVoE9VIFWo9GIQCCA1dVVtLe3C+mBho6OlZk/n5FZC9VSCHMXi0VEIhFMTU3hypUrcDqduPfee9HU1CSjPBobGzEwMIDu7m4kk0lMT0/j1VdfRVdXF3bs2AHgZrClEnhUuFR1Rtz7zVyHUs8Kayhc6p3mvqr0b76LW4v/RFL+8i//ElVVVbh48aL0V/3qV79CdXU1ampqMDw8jPn5ecRiMZG+Wl1dxcLCgjA5E4kE/H4/BgYGpPZFdiDljOrr62G32yXwzOVymJ+fx8zMDFZWVkQGzmQywe/3o7e3F3V1dZiamsLMzIzU16empjA6Ooqmpib09PSImHQ+n4fJZMK+fftw5swZOUtjY2N48MEHhbhTLm80lxOiViFQwqdqZsWAl3Cf2vj7ZgjNpjtR6sHgS/L7/WhubkahUMDU1BSAjd4nu90Op9MpDasOhwNnzpxBLBaTbKenpwcWiwUHDhzAxYsXEYvFZB6TyWSSiMLlcgl1WK/fkO6YmJjA+vo67rjjDsk+DAYD8vk8Tp48iZdeekkgkfr6ejQ1NWHLli3YsWMHmpqasLq6ikuXLmFpaQnhcBidnZ3w+XzYvn27vNDV1VXs3LkT+Xwet99+O9LpNP7pn/5JmINUHSDdk9H7hQsX4Pf7kc1mEQqFpHGS2K7NZhMWEutrkUgE+/btw3/9138JNKbCGYx8GBWrzaybbakUaKoscM4RnQkAqTmoGSLpxR6PRyi7mUwG//Ef/4Evf/nLMv8pm81ix44diMfjaG5uRiKRgMvlEidOdRLSe/nzaMyZrQNAMpmU4jxh4YmJCZFjWllZwcmTJyWLYhady+UkaGL0SuIDs2BmblQ1KRQKaG9vR11dHRoaGmA2m7G0tITFxUV4PB5RSWG2NjQ0hJaWFtx33324//778cILL1RQkhkYAaiYRquSbFQHsBkXn4Hvh2efGQzfE59XhY+Bm0QQNTipqqrCZz/7WUxOTsqkhEwmg+npaayvr2Pv3r3w+/0wGo1oa2uDx+PB2tqGokwmk0FVVRV27Ngh2fLi4iKMRiPC4bCcA9ZAOWVhbGwMbW1tUgdlQOpwOCRzt9lsCIVCCIfDAv23trbCZDJJzZDOraGhAT6fT56J5YE33ngDoVBIUKx7770XRqMRX/va1/DII4/gwx/+sLTPHDp0qGKfVR4A0Qq1fkcH9lbINZvKQTHVJYyiXgJqlAWDQXR1dcmFZ+pIvDObzaKurg79/f0oFApSx6mtrUV7e7uk1syAWF8yGo0YHx9HR0eHKIV7vV5MTk6ira1NmDd0AufOncPExISMJaBSBOGRQ4cOicJ1uVzGzMyM0NPtdjsaGhqkr4n4LHFqRjJqr4D6ctfXNzrD19bWxCgxglebOtXoRYUTaFhpSGlkVWPDfd/MNShmkeVyWSAzwgdqjY17zEyI75tDL3O5nAwUZCbS3t6Oc+fOwWazwe/3I51OS02SZ0dtpmZ9VI3QWfMymUyiiUgYh7Ri6jISomN90Wq14tSpU/D5fPJ3PKusg7CtoFAowGKxwGg0IplMore3F9lsVs5/KpVCLBaTYIRROaFdMsgIbXPv1ExDrcUxYGI2qdbH/hBijaZp3wXwAQCL5XJ58MafuQD8B4A2ADMAHiiXywltwxN+A8D7AOQB/B/lcvnCm/0MGkUaTj4bHS4/M1EbtVal1ltUx33nnXfi3nvvxcWLFxEMBkVt/Pjx4+jp6cH27dvhdruFqFUsFiXA4UgWOs61tTUJRsi6ZGbS0tKCubk5mVDAM8y+u7q6OtTW1grsRzvEsoLf7xeRA7vdLo7I5XJheXlZoEdKo/E8nDhxAvfccw9SqRS+/OUv44EHHgAA3HnnnWKTOI1BDdCYfavUdLVORbukBt6/bW0qB6VGN8Q49foN+SCTyQSHw4Hh4WHs2bMHoVAI9fX1EsmYzWbMzMxg//79aGlpEfYKCRQsHp47d05m6qRSKSSTSYGEWlpaMDs7i2QyiaamJmjahmSR1+sFcFN5YmJiAm+88Qbsdju6u7thNBoRCoXEGAUCARw9ehTd3d3w+Xzwer2IRqNIJpOIx+N4+eWX4fP58IEPfEBYOaoz+uAHP4if/exnYnQ5KVen04m0TSwWw9LSUgW819jYiNraWszMzEh/FI3S3NycSCrRQNOg63S6CiacWq/ZrNpqaua3trYxskKtI5JkoHayE2LQ6zekgPbt24cf//jHv1bztFqtaGtrQzabxeTkJNbX19HR0QGHw4GGhgYRciX8p8KJNB78HDSCc3NzeOONNxCLxXDPPfeIUDBrGIwwSe1/9NFHUSqV8IlPfELEP9m/lM/nYbPZ5D3xGQljUrdxeXkZyWQS2WwWuVwO6XQa6XQadrsd+/fvF5FZ3jXCU1RPoeFmLYp7CkACKLWhWJXv+j3X9wD8C4D/rfzZ4wBeKZfLX9Y07fEb//9/AXgvgO4b/+0H8P/c+PV3LjoaBl1qMMxfSZcmhEcnxuBRvU8PPPAADhw4AK/Xi4sXL4pjf/nll2Gz2VAoFDA/Py8MPDbSMmNOp9OS5fBddnd3o6WlRTQWmV2wCZjtIZFIBP39/WhtbUVDQ4MER+pEXvbTVVVVYX5+XoSn2dZCMhdHwJD5y9qQ1+vF6urGdO5MJgOHw4Hx8XH8/d//PT7/+c/jySefRE1NDf7lX/5F9uRWFjChblUqivUrlY7+u9amclBqFKPCF3a7HQAQjUYrPLDFYkE+n5eZSAaDAT6fD0CloKPFYsH8/LwQB9i8xkNAw+xyubC6uip9BGyCYxZCFtfk5KRAROvr65iZmRG8WNM0RCIRmEwmzMzMoLOzU2TxSUPWNA3RaBSTk5NwuVwSibLO4PP55JkZjagGjM2bavG6vb1daPO8THz5vIzhcFhqJNxjOkX+G0b+KqNpMy4VPiCkR4PJPeFSCRXMOiwWC3w+H5xOJ0ZHR4XuzQi0ubkZdXV1MBgMSCaTojaytrYhWswaKKHR2tpaMQ6lUgl2u11o4plMBna7HXv37kU0GsXjjz8Oi8WCw4cP4/bbb4fL5UImk8GZM2fw1FNPweVyYX19HQ899BAcDgdcLpdkbKqzVesO1dXViMfjsNvt0rOnEoYmJyeRyWQwMTGBUCgkxo4O0WAw4Mc//jE+/OEPw2azSabI5yFRhIrVKpxKB/kHOieUy+UTmqa13fLHHwJwx43ffx/AcWw4qA8B+N/ljR92StM0h6Zp3nK5vPBmP4fOhudH/ex6vV7uDm0M742qMQcA7e3tuOuuu/Dggw/ixIkTiMfjosuZTqdRXV0Nl8uFQCCApaUltLa2QqfTIRwOY25uDmtra9Kk7/P5xKAvLCygqalJzk08HpfgxO/3IxqN4tixY2hvbxfpI0L58XgcoVAIVqtVzmehUJBaeDgcFkdGMhEHvS4sLKBUKsm8u1gshq1bt2JxcRHZbFaklvR6PR566CHE43Hcfffdvxa0qDCvyoAEbhKT+BnYKM1Wmd+2No2DUqMUFc4CIArSwWBQMiIO8WNROZvNCvWS+L3Ks/f7/bh27Rp0Oh0uXbqEd77zndDpdHC73SiXy0JGoLxNLBaD1+sVKIiUcQDioBKJBDKZDKqrq3HgwAGhCScSCZw9e1aYMF1dXXA4HOjs7JRagE6nw9WrV+F2u9Ha2oqWlhYp1jY0NMDj8SAcDss4Bx4CRkpVVVXCUOSsITpHu90ukjhqX8Ls7Kw4PpUZxu/NCFHNoLiPm3ERf6cB4dA8teFYdVwA5Gu8Xi+y2azol+l0OvT29gqEShWOmpoadHR0CLQL3BzWp6pWkOFGogINkCr8SQN41113IZVKoaqqCpcuXcLOnTtht9tRLBaxc+dO6YVRdf7Yv6RpGhwOh2RxrCmwFkp4iDPDCLF4vV4hbLB/S33PhF+cTmfF/WGGajAY5NwRBmbmxcDmbWZ9NtDplMvlBU3T6m/8eTOAoPJ1czf+7NcclKZpnwbwaT6fKmyqQk5q0zqdMh0Tz46qsfnnf/7n6OvrwwsvvICRkRHJJoeHh0WI1WKxoL6+Xsa/cE5dIBCA3++HxWKRSQdsvKauYiAQkOnesVgMY2NjOHjwIHbu3CkSakajEW63G/l8HoFAAAbDxqiffD6PqakpeV6v11uRtfDc0padPn0aoVAIpVJJpiZkMhm8613vkrFBDodDhq/+/Oc/x8c//nF873vfw/T0tOwbvz/vHc8L7wgDRpKyeL7+fwPx8bAwBVf7KhhhxuNxiVLI1mImpGma9EXx3wE3Fa2rq6vR3d2NoaGhCtpxuVxGNBqViIobnM1mkUqlhBRhs9lEE4tSIVVVVTCZTGhtbUVzc7Ng11VVVejv70c4HMbY2Jik4YxCgY0UO51OC+7r8/kkIikUCqLdxj4qFuaJK5fLZYmeaSj42ZklqZT6YrGIjo4OaRzVtI2pvHReauc36beblSDBpbL1VEOpOmU1muM+MONcWlqS92q1WpHJZJBIJOB2u6Ujf2FhAQ6HQwzK/Py8kGoYUPAskLjDXia73S7kBkI7fr8fg4ODEkWzmXxkZAR79uwBsDElOZVKVYxXYUavaZoU09PpNBYWFqTPibUqNvSycD86OiqzzXgWaSBaW1sRiUTkZwAQmS/gpoyRWjdQHTWdEs/bH2H9ppT+N6Zu5XL53wD8GwDodLqy2uahqqTw/LMexCCG9473nqjNJz7xCQwPDyMcDst9vnDhAtbX11FfX49YLCaz5/hOfD4fksmkMCepfk971dLSgpqaGkxMTKBYLCKVSqG1tVXq22fOnJHgcnFxUfrq5ufn5XM5HA7J4Bgkzc7Oor6+XnT71tbWMDs7i1KphKmpKczPzwu5y+l0YmFhQYgzKysrmJ6ehs/nE329ubk5XLlyBXfccQcCgUCFYguzaD4bxW9J7KE9Icv4xjv6nS/7TR3UH6OAeeMASfGYD0GDQrLBjh078M///M9ou9ElzyIdgArDC0C0+q5cuYL29nahY1OPj5EMLxadVqFQEAfE2tVDVFz9AAAgAElEQVTly5crKJtnz56FxWJBuVzG7bffLmPcSRsmFtzW1obnn38ex48fx5/8yZ9I4TWfz2NlZUXkSQYGBqSxk1mB0+nESy+9BKfTKfBesVgUeX4WXykbwuiHe8aiLCGhXC6HxcVFHDp0CFarVTIs1fDQoBMfVtlbm20xs6ChUeEEZpNqVMdfGbjU19cL9X9tbQ3t7e2Ix+OCm8fj8QqSQENDA1ZWVhAKhSoCEVKG1cyst7cXmqahtrZWMiwKC/M/FsGvXbuGc+fOoampSbQXaSSpUG0wGOTvCLmxTSIYDIozIYMLuKnzODc3J0FNKBQS1GF6ehqBQADbt2/HSy+9VOF0yBAk/EsohgEQgwG13kBG6tu4IoTuNE3zAli88edzAFqUr/MBCL2Vb6iSaAg5qcw8BjPqcD6qS1C66vHHH8fs7Czi8bjUM0+ePIm1tTWEw2GUy2X09vaira1NDDQdB7+Xx+MBAJmSzWCHY1tIT9c0DT09PZiZmUGxWMTS0hKsVqvUvaliYTKZMDg4iEAgICSMVCols/Aohksn43A4UCwW0d3dLUr9pVIJDocDdrtdGIFDQ0M4d+4cTpw4gfe+970SZJ8/fx6f+tSnkMlkcOTIEQl21OZuErb4jGptWEVt3o4+qO8BeM8tf8YCZjeAV278P1BZwPw0NgqYb2nxQ9No0piohgiARLMApK+Dh4vwHgvHzIwWFhYEc62rq0NHRwfC4TDS6TSWl5fFeDCqmJqakqGHqVQKly9fxujoKE6fPi3d4YQBqJfHjIwGjg6SHeE6na5i0BxT8vb2doEPSqWSMPLy+TxSqZQYJrJkqBDAP8/lcsjlcpiYmBCWj4oNM/2mA4xGoxWXhXunZq3Mwuiwft+ladp3NU1b1DRtSPkzl6Zpv9A0bfzGr84bf65pmvakpmkTmqZd0TRt11s9L6wb8H1w3tKtTZaqQ2GQ4na7xSGZzWYZ+re4uIilpSXEYjG5WDU1NZibm6tQZGAtk0odc3NzcknZ77KwsIBCoYBMJoNSqSQCsbc6noGBAVGmYD2SgQOhONZ+4vE4CoWCtEQQ019cXJTRLktLS5idncXk5KRE2GR8si0hEokIe9NisWBlZQU1NTWYmpoSTTdmDWpWTRiMmRSjZrW+8zatZwF88sbvPwngGeXPP3Hj3NwGIPVW6k8MHmkfiMCorDPaGPU5aIMymQz8fj8OHDiAc+fOCSmnVCrhypUrmJycFGo4tRR5xwmrjoyMCETr8XjQ2dkpotDBYFDqo6zxcdx7X1+f1DnL5TI8Hg/q6uok0CXUqyIKtxJv+DmWl5dFNo3/6fV6GQRrNBoFGdi9ezd0Oh2++MUvSlmFKEFHRwc+8pGPiMINYU4Av6bYo54btX+OEPbvWm+aQf2xCpj84Co0R6PCiCIYDEqDGHXw2BfEyJGblE6nEYlEcPvtt2N1dRXDw8NobGzE3r17xYDFYjFMTU0J7fbnP/85otGopMyLixtBG3XWisUiQqGQUM6tVqt0izMqSyaTFXUPQjuRSAQulwulUgkejwd9fX2oqqqCx+NBqVSSRmSSMGZnZ2G1WtHS0iJRXalUEnHTtbU1JBIJjI6OijMql8twOBxiYHkR19c3VLcJYTU2NiIYDMrlo5MCKqnb6nv4Pdf38N/MygJuDj4jbMfCPiNj4Kb4JzMhVSR2YWFBIuV0Oi2iwVT1aGlpgclkQiQSkcu/vr4utFzSwSkvtba2VgEz5/N5iSKBm4QXGks6gNraWgkSSH5gVsZmaRpSrpWVFUEWCAdmMhm43W6EQiH5meFwWKjkPBc0rAaDQfTiCOutr6/D7XbL56Sj5/PTaaoyS2qdQW3CfKtL07QfYcOe1GmaNgfg/wbwZQA/1jTtUwACAD5848ufxwZCM4ENlObP38rPYODIZ2UfJLM+Ff7lGWIGSWHpv/7rv8bOnTsxOzsror5PPPEEent7K/oyM5kMpqamhGDjdrths9nQ2dkJs9ks+pgA5H2xBsmfx+BwfX0dc3Nz6OzsRCQSEVvIxl2WJjKZDDRNE41Otq4kEomKYMpqtYqqxOrqqqjQMHNT22kWFhbQ3d2Nz33uc6KF2t3djWKxiG9/+9t49NFH8cADD+C73/0u36PQ5XnWSSxSCUo8I6pE2G9bf2gN6m0tYHKpDX+85MTvs9msZC2MjHmAAEiPC40RDROb59xutzS9kZHX2NiIyclJYZIkEgn5LPwe/HpSvK1WKy5duiQ9LrlcDtlsVmYCqRRjABgZGUEymURnZydaWloEPsjn8/B6vVIv4EEDgEgkgkgkIrRxOqZoNCpGKRKJIJlMihEh7EJDq0KOdHA8DA0NDQiHw+q7kAvJw8RM7Q/JoP4YQQ3PCY0KAwIy6ZiFMPqnEeXi7C2yAZeWlgBA3nN/f7/AcYFAQARcPR4P9Ho9otEoBgcHodfrJQNmMJHL5YSym8vlJMsBbmqYJRIJqbcSLnI4HDLtWZ1ZRPLD7OysZIqq5mN1dTVSqRSKxSJeeeUVbN26FXr9xnTerVu3YmFhAUNDQ+jt7UVXV5ew8SYnJzEzMyOQTE1NDdLptHxWlcmpngP1jqoBzB8K8ZXL5Yd+y1/d9Ru+tgzgc3/Iz2EET0esCvFSoUNVM+e5If2+qqoKTz/9NJLJJJaXl3Hp0iUAwNzcHHp7e9HU1CTN9YRvJyYmsLq6CqfTCb/fL+eVzbRqIOH1ekWBhIH36uqqkGtisRisViuGh4dhMpmkd8/hcEj23NraiuXlZaytrUmNmeeF0F84HJbnYVmhvr4e1dXV0qsXiUSkjaWvrw9tbW34wQ9+gC984QsiPBsOh9HT0yOtMmqPGANd9SypCii0q2+23m6SxB9UwNQ0rQxU4pHEtznbpKqqCvv27cNXv/pV2O12XLx4UajkbG5UBTYTiYRQzumMmHHRQWWzWfj9fgwNDSEY3PCrrBGxaa5UKiEcDmN5eRl9fX0yz+k///M/UVNTgzNnziCdTqOjo0PGbRCqW1lZQTgcFpHGVCoFp9MpcNDExISk/HV1dSiVShXOiQ1wlFtKJBIy4oNZHhmMiUQCa2trAg2wn6VYLIoBtVqt4oT4Z7yMPEyU8+HBfRvX2x7UMMNmFH/je0twoDpvRqOEdlZWVoQowWdnMXfPnj0CBa6vr0tQQqditVql/WB1dRU2m01mlXHSLeE61ocACBsvlUoJvMZ3wEtORhdrEKyLst6QzWYrBJNp0KgsUF9fD5/PJxmBpmloaGgQI8OghUSjQCAgsJKaZTC7ozNSM1MadpVkQNmszbpUKEkNIAFIs7PK3OPdZ/A2MDCAzs5OnD59Gul0GtlsFi+++CLK5TKam5uFLedwOKRuXF9fj4mJCZw5c0b0PLn/DJAIhdlsNuj1eqlPLS8vCxynNuGGQiE89dRT6Ovrw+7duxEMBrG2tgaTyQSn04lYLIaVlRWZtkChAhK+isWiBNPsk2ObAksP09PTiMfjoglos9kwPDwMu92OX/7yl9i9ezdqamrwwx/+EE1NTRKsq7wBVVJM7YFicMC7+2YZ9x/qoN72AqaaBXDxoNChcDNZeCaDjwaI0Q/hMGpYsZDOzeIG0VAzEmWTpvrzmaqmUimMjIyIIWIvTTqdlhEYy8vLQvmmyKx6mbPZLKqrq0WLjwaRitPMIKl6TDopIRr+3FwuJ1GV2+2Gw+EQcVBmjIx8+Qw6nQ7xeBx9fX2or6/H5OSkQDdq35Nq4FmH+G9efzAri4eeQQmfhfuosjKBm89DaDCVSgnz6uzZs1hZWZHx64x0a2troddv6CYyc5+dnUUwGJQhgDyPzJBZwGY/E0kPNE5UfeAZ4NczKKPmo9pcrLYWsGmTAd3U1JSoFVRXVyMSiUj/X1NTk4yVr6mpkf9PJBKixM47pbI71eCFzb90Uqxr8vPzaxksbMbFc037wDNOcgvrT2RKAjcHE+r1enR3d8ugVAB49dVXAQC7du3C4OCglAwYHBJGVZmPnFTADJsN48zqnE6nBAlUpmc2xD232+2in2ez2dDY2Ii1tTWpT5FGDmzYHGY6RGKIMjA7dLvdQrAiTFlVVQWn0ym2zmAwYGBgAEtLS5iZmcGWLVvg8/mwvr6O3bt3i3akOkVAhaS5j9xnBopv5az8oWKxb2sBE7ipKE7jojbHkmmjaRrq6+tRVbUxxI8vWu15obGlICdfMKO8YrEoelmxWAzXr19HbW0t3v/+96OlpQUf+tCHUFtbKyQBFWu/evUqzp49i7m5Odx7770oFotIJBKYnJwUmf3Tp0/LzKeLFy8imUyKqgUAaRhmJGG1WkUuhBkY6xBms1kMbalUEhxY0zS4XC7RVfN4PLDZbDIAjCMUbt2TUCiE2dlZ9Pb2SqMlLyQNI38Wf30bV+RGMIO3K6ih0eGlpNEHbjojRnI0CDxbKysraG5uBgDB+fP5vJBm2OxKwojH40F9fT2SyaREyCSb8CKSSJBOp6XxWv35dFImk0lYoKlUCteuXUMqlZKzqqozqFEnI1MGPQxwGBFbLBaMjo4iFoshkUhII+b6+jo8Ho9MfCZCwO9ltVol26Y6Cz83DQnPJfePP1/9sz9CMPP/ealn3WQyVZCx+Nysy/I+GI1G7NmzR9o6FhcXEYlEhLpvNBrh9/uxY8cO9PT0CCJC1fjDhw+LwgvJLUQ/GMwaDAa43W6B7ZxOJzRNk6kKFosFbrcb2WwWVqtV6qZAZZaikszU52XwWVVVJQQwvX5jaKHZbEYymRT5OAb91dXVsFqtKBaLUqaIRqO4ePEixsfHEQqFkM1mRQn9VtvBz6D2tpL9qda5f9d6KzTz//YCpvKz5HAQwydMwRlNbCSbm5uTgi3TREJrsVgMdrsdNpsN6XRa8FePxyMQSTweh6ZpGB0dxb333itFcWL3qiovD67f78edd94Jv98vDbiHDh0Syi+hmEAgIJ+HRcEzZ86gv79fGkDJGDMYDGi7MVZcJVIQxqEuYEtLC1KplLD7yBQqFouYn5/H1NSU/Du+eP6qEiFaWlpw7do1keAHbgo88gC/1R6F33MxqPkyfj2o+T81TTuCDXLE7xXUMDvkwVezQhaLVforMxayJYvFItxuNwAIvby3txcARLeR/WvMruncObbAbDZLR3+5XJaomH/PEfGMzCn/YjAYJAtPJpPo6uqSSJjajsxMqCUIVGb2fH69Xo+RkREcOnRIDBpHgfv9fnmnKnkGgMDiVLlnUV09OzTSbAHhHgKQfVdrqJt1qcEe4SXun5pFUdmb93/v3r1oa2vDmTNnoNfr8corryCbzeKv/uqvBLYj+5NIyMGDB2Gz2bB7926k02lYLBaEw2HY7XZRhyD9nKM0VIKG1WoV26YybDs6OnD06NGKxn6bzSbPxLYTkm+Am3V8o9EoTNRCoYCRkRHcfffdQoyx2+3Q6XTo6+uT4JX3h3Jr6+vrePHFF3H48GEJ0rZv346RkREANxm0KrqhCg6rDFAVZv1t662w+P4oBUxy9BkV82FIsd2yZQusVisSiQS2bNki49j5Mnj5V1dXkUwmpamNTChGr5qmwWKxIBAISDZF/JxwGrFofl/Wa7q7u+F2uxEMBrG6uipjC5xOJxYXFxEIBCrGrav8/5mZGXR1dUmErNNt6OOZzWb4/X7o9XokEgnpf6EjJSuHBpWOi9ldKBSSAXcqjZZRr+pg19fXkcvlBBIkrMmLq0ZZjHD+EKPzxwhqNE2ThljCFrdCmoTeVBYRcJOVyeI31Uj0ej16enoEVqbKCCExn8+HgwcPIhaLifYjYTUWsNX5PryMfGesIfEdF4tFeDwetN1QurbZbEgmkxKkEI4CgGw2i/n5eXg8HqknsG9weXlZiuwGgwHd3d1Ip9OYnZ2VHigaL9YK0um0iOF6PB5YLBY4nU6EQiFEo1ExMDQ4DNhY6GZGxTvLr92si+9EzWhV2F/NOtQo32AwYMeOHejs7MTs7Cw0TcPCwgIGBwelrtvY2Ijx8XHYbDaB+EdHR8XmtN3o2/R6vUJmmZqawuDgoLxDTmsg3Fq+0Y9mMBiQSqUQj8cF6qP6PQDJsAkJk9hFZXO9Xo/W1lYkEgk4nU5ks1mZttvR0QGdTocdO3bAbrcLoYctMQz8DYYNEeNsNotdu3bh5MmTSCaTaGxsRHd3N7q6uiS54HmgPea+Eyrms9EBvtnaFEoSvIiq9+dhZ7THCbNOpxNOpxOtra3So8IDRcbNwsICOjs7RZGBVGJGftlsVpg4HG3AeTzM1gixMdrw+/1ob2/H+Pg4stks+vr60N7ejtraWjmYbrdbaLmsA9FgxWIxLCwsIBQKYcuWLXC73SiVSjIob2VlBZcvX8by8jI6Ozt/jfnFtJtd5OzzIsWYhU6Vssz9U/u0GFnRsHFvVCiA0ZpaWP591h8rqOElZmSn9svxPRDiIkwMbNC/yVAixOVwODA3NycBDS9sPp8X6IXNkqTktra2YnR0VJhbbIIlKcZoNOLy5cvo6uqSz8SzbLPZhMzjcrlQLBaRzWZl7AtZdRwbTxkbBhDUkwQ2DAjPRFNTE2ZmZpBMJsURx+NxtLW1CVxHg2g2m/Hcc8/B4/GIuvovfvGLCsKAuniHGLioo9MJn2/mpbJTVRo9jShw867xbK2vr8tAQELJpVIJe/bsQbFYxMLCApLJJHp6esRWra2tCVoTDAaRSCSwa9cusU2cE2a1WqG7IVDAxn0GlRaLBYVCAblcToIr1hcXFhbwyiuv4GMf+5i8B8J2JIyxb4o6krRNHNGTy+XQ398vmRpwk7nMWmm5XJZ+L9LYqTTx2muv4YMf/CCOHz8utTO1RYW2lgEO955O/62WDzaFgwJuMq5oHNWDw+yCxodFQarxEvtn3Sifz0vWRDaeyvLSNE2aFtvb2yVj6ezsFL0/smny+TxcLhe6u7tFfNHr9Qq9l5ELJ6ZyvAaL2GoGs7i4KIXKlZUVNDQ0SM0jnU7DbDbD5XJJ1mg2m5FKpQQqJOzAC0amkApBcR/VTIhRjd1ulzH1HBHNjI4RPzMrNbLcrEvVx+NnVmtrLD6rZ4TP+sYbb+A973kPWlpaEA6HsXXrVszOzopaOBtZOQ6DGT7X1q1bAQBNTU0ANs5ve3s7hoaGpB1hcXER1dXVuHbtGtLpNFpaWkQBJJVKQdM0nDp1Svqu7rjjDqkl8RlGR0exuLgIt9uN+fl5bNmyBV1dXbDZbJifn8fOnTsRDocRDAYl6AmFQuKcPR6PMMzUmi6JOGazGY2NjdDr9QiHw0J9pkoG745aX1CV8AEICYkZ2mZdKrLBgE21DTSyAIQVzPErbW1tuHDhAubm5oSwtXXrVoGuLly4gI6ODgmMe3p6kMvlEI1Gsb6+jnQ6jbq6OpE0I+yl9nIy8OD3XF5ehslkksGrJEg98MADUrumvdM0TZwZn4G1UBIYSIjo6emR6b+cQxWNRiv6OI1GI1KpFLLZLAKBgGRfrG/Pzc0BgLS0qMQZ4OYgQpXFyiCY622B+P5YS3VMjCJo4HU6Herq6rBr1y488cQTkhXFYjGZacKv1TQN7e3tKJc31AUIxzDyyeVyCIfDsFgs6O/vlyjV5XJhYWEBw8PDuP/+++F2u/GNb3wDjY2NaGtrw7Zt2zAyMoLV1VUR8iRFNJvNSgRJIdlDhw7h/PnzOH/+vDhL6vsxlW5vb0dHRwcuXLgAnU4nTbs8cHwuvV6Pq1evIp1Oo7OzU4q7tbW1SKfTyOVyUsQfHh6GwWAQRiOfT6/XiwNOpVIVLDGVBsqIh4dns9YVVEowcBPqIB7PPSLswCydNPNYLIbz58/jHe94B4xGo/SBkCFJgoOm3dS+W1tbg9/vR6FQQDabFRiZWmuMSgHIiAPVSU5PT8vPqq+vRyaTwenTp1EqbaifU3qIkBprJC0tLYhEIiKxMz09jYceeggejwf5fF4col6vl3YJwrhkZVHLsr6+Hn6/HysrK1hYWBBVFmYLp0+flj1jxsR+LSIVLIiz/4zv4630tfxPLrU/7jfBTgDE0TKQpT05ceKEqIR4PB5s27ZNEB9N22iQjcfjknGTNcl+OgBSKiCphfRx1iSpbMJgkc31TqcTly9fhs1mw6VLl7C4uCjDB6nduXPnzgqHS2YzG2UBCJxNos/8/LwgQkRZCD1zOrjf78euXbuQyWTg8Xhw/fp1eDweqYkODg5Kyw/3kXvLwFytZ3KPVXGA37U2jYNiBKzWQ+iFk8kk2traAECwckIlrKPwgVWaKFNdpq2Tk5NwOBwIBALYtm2bCIQCkAJiNBoVeiXTZTKieOHJemLjL79/JpPB+Pg4jEaj0C/5OXg4a2trMTc3J0xEGr5UKiW0UtaXzGazyOYQauDPZP2EfVKU2GdNTY1yScln8Ry4yThjxHXrnrMGcmuD62ZaKs0ZgGSyZMrxIhCyooiuWs9jJMmM2OfzCeWXdG9mnWtra8KqMplMIhlz6xlbWVkR6RkK0er1G1NPX3/9dbz++uvo7u5GIBAQweBisYi5uTlEIhEZEx6JRNDT0yNZ8uHDh1EoFDA0NIR//Md/xF133YVgMIgHH3xQ1M6bm5srBt+1tLTIMzscDiSTSczNzSGZTAIAduzYAZ1Oh7vvvhu//OUvMTExIZk3oW8VzSCcx4hZva+bOdvmfrAex/vLO8LzzlYXBmxVVVW4du0a3vve9+L06dPCfmT2zj2gukOhUJBJtsDGFAUiLqxX8lyNj4/L3WJTfj6flzOswsTHjh2TzLtc3hCNPnv2rPTm+f1+YeAxA6b46+zsLCwWC9rb2+F2u4UW7nQ6hfhTW1srQgVra2vo6uoSJxePx8XmtrW1YWpqSv59c3MzZmdn4fV6MTU1JWeHVHPeLd5FNbB5W1h8f4zFiEHNotSHW15extLSEqLRKHp6enDlyhX09vZiYWEBv/rVr7BlyxaYzWak02mUSiUpVDJzCQQCMiI9kUhgdnYWPT09iMfj4hTYmc1BhUtLS+jq6sLc3ByWlpZw8uRJlMtlbN26VXB89UXE43EcP35c+p9UyXu1E9xmsyGbzWJubk6kedbWNhTSd+zYAYPBgGvXrsHr9UrdioVswi6UEGHWNjg4iBdeeEG0BensuQdms1kiaa/XK4Pz1ItIQodKT93MSzWYjGI1Tavo9+AFYH2Sy2w2Y3l5Gc888wzMZjOamppQXV2Nbdu2VcgSsbHZYrEI/TebzVYUsgkDlUolXL9+XaA0khiqqqqwtLQkTkan08Fut0skvnXrVly9elUg3MnJSeRyOZw4cQIf+9jHsLKygqtXr8LlciEej6O2thb9/f3wer0iwfTMM8/grrvuEihOHc9CY8i9oGOiiGhXVxdaWlrg8XiE8UpImAaVZBMAv9E58fdvBbL5n1w0imTG8VcGkGTA8v5wtA2NKltcCKP6/f6KWhX3hu+SfUUMiNxutwSMbOTOZDKIRqMYGxvDzMwM+vv7ZeRGMpkUPU69Xi89WNlsFjU1NRIEWa1WjI2NweVyoaWlBQ0NDSiVSlhYWEAsFhM5LN4JslupYpPP55FIJCpqiCyDsP5J3cdSaUOWjRkjnSobyZkgsFTAuhZRMWZXtPlvtjbFiVLp5Vw0Mix2FwoFoUFmMhmJUtXojkaWIxRYECUD0O12I51Oy+FgnxENc21tLRoaGmAymWC1WqWbm+QEfj86HtWhjo6OIhKJCIRkMBiQy+XgcrnQ3NwsfQ2ZTEZqXoTbGM2xWE8FilAoBJvNJs2i/N40jiRruN1uRCIRMSSU6GE9gLOzSKPmiHO1iZkFTTLeVJh1My4aXBrOW4Ob32RUeXlYH2R22tfXh4aGBuzbtw/nz5/H0tISwuEwJicnMTIyguHhYQwNDWFqakreOx0Q5/ksLCxINlQqlWQ4pMGwMelY0zRcvHgRZ86cwXPPPYdgMIiXXnoJBoMBd999tziRq1evyoyhb3/723j99deF3UfIp1gs4vr16ygUCvB6vbhw4YLsyfLyMtxuN5xOJzwej/RaUXeSvSuhUAjPPPOM1J7OnDmDS5cuiZNTs3A14mV9VWVs8d6ylrJZF5U6SJhhHYj1PpWkBUBkwqLRKK5duwaLxYLOzk7U1NRgbGxMes4o88M2E1LH+/v7JXhh7xkdQ6FQwPT0tMgRWa1WbNu2TWbDkVhDMgtrZ2zWpX2kwg3bTnK5nATcLS0tMjDVbDZjeHhYJLKYudXX10uAQtifbRJUNu/u7kZfXx8cDoecF87eo2o62arMktguwfvIgFelmJNT8LvWpsiggEodLzoNGp3FxUUcPHgQPp8PdXV1GBsbw86dO5FIJARqSafTyOfzqKurE/YVGyx1Oh06Ojpw+fJlcXrj4+Noa2uTXiKOR+YhoHOJx+NYWlpCJpNBb2+viNUSNqIjfPXVVwWeMRgMOHLkiBgdq9WK2267DQ8//DCKxSKeffZZXL9+XZSMWZOiU2tpacHExATMZjMaGhrEoDKaymazAuUBQCgUEgiBoz+4j4yojUYj6urqoGkbI6gpgaQysXhxGWlt9iwKuAnzAZDPzwiNl0ON8oGbNOKqqiq88soreOyxx6DX6xGLxcSAb926VbIPQqDz8/OiXr+ysoKhoSFomiYZzaVLl1BbWwun0ylFZtJzV1ZWEIlE4HA4RNjY4XAgGo2KE6P6BNlh/BoqVre0tAhFmc3Ca2sb4+GHh4dRU1MDr9crc65IgydtnKxBk8mEI0eOyMiEe+65Bz/96U/x+uuvi6oKgxNmFkBlkZsKLITMSOzZrIufnSQEOiVVBEDNAgiT5fN5/OQnP0FzczMeeeQRjI6Oynyovr4+6bVkiwF7nKg2TlifZIaamhphVr7wwgswmUw4ePAg+vv7pWQxNjYGg2FDaNbv9wvMys9LRCadTmPfvn1obGxELpcTZICOiOziLVu24Pvf/74QvLZt2yZZYy6XEzSG44cIN7M+xp8VCoWwtLSE+fl53IEZjT0AACAASURBVH///di5cye8Xi+OHTsmdW4GN1TLoR1Rgxm1d+/N1qZxUKpBVLMhvV4vvQOJREIa1UwmkzgHdu9ns1m5KMzKKJLKi0Q2yuXLl0UPi5ewUCgIBLe6ugq3241wOCwNrYTMiMMzIqc6BKMvfg2d4fLysnSgNzU14QMf+ICwgRgdMQqhIa2rq5NOc0JZLNrX1NTI5FzOxeKLVwkS1dXVsNlsWF5eRlNTk0RS6oBGtWeHB0etSW1WkgQAocfy3FAi5lYK8a2YuOqootEozp07h56eHjQ3N+O+++7Dd7/7Xdx5552SjbJxkwokfr8fgUBApKxOnTqFzs5OvOMd78Dk5CQWFhbQ2NiIcnljqGQwGEQ0GpWZXOvr6/D5fPIu1Aya/VmMRhn0mM1m9Pb2wu12i4MslzeagqemprCwsAC9Xo+ZmRns2LEDi4uLCIVCUmNbW7s5bmNiYgL33HMP9Ho9Dh8+LAMNQ6GQ7BcZZiodmPeEzonOn8xS3sfNuFhPUj8ra08MaFSdShpqnU4n2XG5vKG7FwwG4XK5kEgk4PF4MDAwIJJRkUgEZ8+elfpwf38/zGazKKen02n5PWvRn/nMZ7CysoJTp07B7XZLLXP37t2SYVVVVWHXrl1SQqAzHRgYEMahTqdDT0+PlEMymQyuXbuGtrY2oa6T+ZdMJnHhwgUJPhiU1NXVyRTpYrEo6iUjIyNYXFzEv//7v8NiscDlcmHfvn04e/asDC7kHtM+Mtj9TY3dt8ra/ba1KRwUD4dqSAjTUBGag+JaWlqwsrIixehisYjnn38esVgMFosFBw8elC5rOodsNovW1lapA/CSVVdXC+2SZIOlpSU0NTXBYrEgmUyitbUVk5OTKJfL8Pv98m9ogGZmZjA1NYX6+nph3rFngD02a2treOqpp/Dggw/itddew+7du+Hz+TAxMSEQSmNjoxgmvV4vdFQaUw4VY0TGkeFutxtzc3PC6Eun03JIOB7E5XKho6NDuth1Ol1FwZWSPup/jLg3K8SnQsK3Us1v7b6nagD/DY2QOm6aNcCJiQkMDg5ifHwcLpdL6kXc91gshrq6OmkBIO2WmUkymUS5XEYgEEBTUxNGRkaQz+cxNzcnjdcMbviZnE4ngsGg1LMYLBFKBjZGE4yNjYn+pNqblUwmBednL6DBYJBMn4255XIZ169fRygUwv79+1FVVYW9e/dCp9Ph+eefF8fHGiejXnX/1IBGzUA2u8wRHa/KaFMdLHCTOASgggm3urqKH/zgB9i+fTt27tyJXbt2YXh4GB/84AcRiUSQSCQwPz+Puro66XEiPMa+NmYMbJju6+vD4cOH0draKkQf9mHa7XYcOnQIJ0+eRDweR09PDw4ePChK9S6XCy6XC8PDw6JSwdEb09PT6O7uRlNTE5LJJDRNw9zcHN773vfCYDBIs7Ber0dzczPm5+cRiUREPDgWiwHYsDe1tbXwer0IBAJYXl7G0aNHYTab8elPfxof//jHMTU1hddffx1f//rXK3gDKmpBFEkl26ytrYnCyputTeGgVIozH1It1hN24MVlHYrFvqmpKQAQxhMLoPl8XgbHdXd3C/24trYWPp8PxWJRJDwYLdM5BQIBWK1WMfhUrmBEwctrNBrR09MDj8eD6elpXLx4Efl8XlhkzN56enoEq37++eeRz+cFAlBrbWrTKSM7Cjkye6I8DYubzDaZJRFK4GXzer2ora1FKBSC1+sFgIqDxN8z+1PZWpu18E2aOeEOGh+1D+NW+Rrus8omKpVKEogwmty9eze+853vYO/evQLzmEwmgUUZgFAck3UHtemSTY2s2bS3t8sQy/X1daGzU1ZIp9MJVMv9b2lpQTAYxMDAgAQgDGJSqRR8Pp9AkMBN2aLZ2Vn4fD64XK6KcQcsiLe3t2N5eVmyOovFIqrYJPUQESAURiicMlFkhvJME+bbzOvWXksiIKrqitrPw7NFwz8xMQGfz4cPfOADuHr1Kl566SUh1nR1dcHpdIqOJxu9g8EggsGgwLt9fX2Cjhw6dAjFYlEU8FtaWiRIT6VSaG9vR319vcwVO3DggBC/wuEw+vv70dnZKTOi1CGm/J4mkwlutxurq6vYsmWLZC2s6VMj1G63IxgMikA1e70Y6P7qV79CuVzGI488gkOHDiEej+Ppp58W+j0JFnRAAGQv1fNBe8JA7s3WpnBQ6lJp4nyAcDgs7Jj9+/eLCjN7R/bt2ye4ezweh9FoxNzcnPSR5HI50eKrrq7G7bffLhvENNtsNmNiYkJqS8lkEsFgEJcvXxYpG5/Ph6WlJRQKBZEO6erqElFOGrnh4WEZ2lVTU4MdO3bg4Ycfxr/+67+itbUVwWBQIinWy0gFBSD1N9LN2ZNTKpVQX19fgZWfPHlSRE65aOQMBoOMdHY6nVKro4FWaeRkF6msODrhzbhoWEj2WFtbkzlHJH4Qkr0VzmRmSjILVUSOHDkil7y3txeXL1+WxlrgpiinXq/H9PS0wGzMJgBIjwubGevq6sQ5mkwmiWzZL8dgC7jZyW8wGDA4OIh0Oo0DBw7g2rVrACB05fn5eTQ1NUk2RxibxJiqqiqMj49jYGBAaPI8E4lEAp/97Gcl+AgEAlL/IozMSJ/3kA3Q/Iw8PwBkVAfrL2/ziJa3dbF/i8/A1gIGwMwU1Z4v9d+Nj49jcHAQu3fvRm9vL4aGhmA2mzEwMCBMN1L8y+UyYrGY3G+z2QyPxyPyWZqmwePxiDOpra1FsVjE4uKioD7MhH0+nwSfuVwOIyMj2L59O5qbm1Eub0xZpgA15Zeow0gmqdFoRCaTqVBHZ9Df2NiIiYkJNDY2AthwXrOzs3A6ndJiMzs7i8bGRuzatQudnZ34yU9+gqGhIfzyl78U+8HghugFf76qMsHMtaqqSsRuf9faNA5KTRFpSNTpi/Pz87h69aoM/VpcXBQVgIGBAUSjUYTDYWjahlQRISyHw4Hdu3fj8uXLAICDBw8Kdby9vR2Tk5OSMjPTSCQSMJvNOH78uNSjfD6fdIWTgsxmOWLvqVQK73jHO5BMJmWiZm9vrxRAv/KVr+C1117D6dOnEYvF4Pf7EYlEhG115coV6HQ69Pf3S4TN/aDydjKZlIie4rEOh0PmQjHj0+l0aGhoEMYQi/WNjY0iGKn2QQGVw//4DjZzVKz2bBEKUyFisj8JV6mKI6xdAht7yoi2UCjg2LFj2LZtG65cuVLBSGKGQomkXC6HTCYDh8OB6upqJBIJgUYymQxcLpcEOxQS7ejoAACZJwVASAwAhDhjMpkwOjqK5uZmNDU1wWazYXFxUUbOsMePrRUcSsfsy2g0IhKJoL6+HnNzc1KTZA3FZDIJ2mCxWODxeCreNbN3ACJcC0DqoDwb3FP2Bm3mpZ4LGlHWGAkNMzAjogNAsvDvf//7qK6uxuc+9zn827/9Gx544AGcOnUK3d3dcicBYGlpSZppnU4nvF6v1H5MJpM0YtfV1YkzJDRLh5/L5dDV1SXZViAQQEdHB1588UXYbDZ0dXUJK5nBJcsAap/e+vq61C1JwgAgP4NBVnNzszhuNqpfvHgRFy9ehMlkwnve8x48+uijyGazOHLkCJ588kmpWTKrZobNJIOBG8sdwM2p0kwE3mxtGgcFQC4sIxmVTq1OGCXssry8DJvNJhGQw+HAlStX4HK5RLWhrq4OKysrFTJGtbW1EmXzoLIew8iCEBwbbB0Oh3xORs2MRtRaByMG1jmMRiN8Ph8aGhqQyWQkq6EeHLu4if3SSJCuHIlEkMlk8IlPfEIYWVRyN5lMcLlcUtylQW1pacHi4qLAO6SjxmIxafRllM9MRM2a1Ah5MzsoGkiVRk68m59bFb5VWZqEAC0WC8bHxwW7f+655/Cxj30MP/zhD9HY2IhnnnkGe/bsQX9/v7DsCoUCHA5HBeuRWmiMYjVNE4XwtrY2FAoF7Nu3D4lEAolEAvX19TAYDJifn5fMxW63o7m5GY2NjVhZWcGf/dmfCUHjypUreOc734nbb78d58+fx8mTJwUWpAM1Go3wer147bXX0NDQIHAjGWazs7OSTSeTSRw+fBinT5+G0+mEw+GQfeEzcQ/Zx0NIlftIp0eYerNnUHTeRCh41m/NANRon7AwyxDf//730dzcjHvvvRdPPvkk/uZv/gZHjx7FQw89hLW1NSwuLiKRSAgtm0r5CwsLaGhokJYPOnSbzSZlC1XAWX0fJFHpdDr4fD5s2bIFqVQKdrtd6owOh0OmMDidTnlO3o3FxUUZdU8lfU7kphAAs8hCoSBkj4GBAczPz+NLX/oSMpkMXnjhBRw7dgxLS0vCfqT9I+JCZIbMRdZKWRoBIIHwm9UuN42DUmV26IhoJEn9XV5elmiVRqGmpgYXL15EY2MjbDYburu7kUwmJf2enJyUZlyq7jY3NyMajcJisaCvr0/IEdQsGx0dld6S5eVl6HQ6mcUEbIxM5+djXUEtvNMREXpxOp3o7u7Giy++iOXlZTz44INIJpP4u7/7O6ysrGB2dlZYW7W1tbhw4YIcPJ1OJ4K2LMqzT4GHNpfLobGxUeCKxcVFyT5dLhfOnDkjneHhcBiNjY2YnZ0FUNmXQPae2oS5mReNiIqBA5WjyhmxMTJkrwuzgkwmI537wWBQZn4RGs7n87h69aoUsBlMMNp2OBxSs2HjJSWrpqenxRi1tbVhaWkJa2tr8Hq90ljudDqRSqWg0+lEF4/F69nZWdx5552YmprCZz/7WZhMJoTDYZmFFgwG0dHRIcbIYrGIEgSzPGbcpMkPDAygVCqhtbVVjMiVK1cA3IQnVWUWniOqXLP2RsiQZA4ats26aEj5jKpsE/+Od50QupqNMstZWlrCM89sTIr55Cc/ib6+PoyNjeH48ePo7e3FoUOHYLFYZDxOKpVCKBSCz+cTggwAeeds1meZgExiOhs6SKvVinA4LO0wbW1tknHZ7XZh/JLJSoiNPXQk4kQiETQ0NMDj8aC5uVkybQrIplIprK2t4cyZM/B4POjt7cVXvvIVzM3N4aWXXsITTzwhgz4BVAjvMpNS67MqKqZKj6mEld+1No2D4iFhTYARPbABh0QiEWmm5ebw5YbDYaTTaezatUuKv3R0NTU1mJqakkxsy5YtMBgMoqXHKZdM80OhEEZGRirm7xiNRhFiNZvNFXIeage5SnFX8XweGr5ADhyj1AoPE7MiFiZ1ug2pfiojr66uikwJyRSMdBnBU4NNnXUTjUYxOTmJvXv3SmalUsi516SJqrR1ZrObbTHbJclD3XNmVgDEqLJQy6/n2VlfX0coFML09DTuuOMO/Omf/imOHz+Ob33rWyIjQyNcLpeRyWRElDOZTGJkZAQHDhwQ0kA2m8W5c+fQ1dWFT37ykxgYGEA2m8XVq1cRDAblZz344IMYGxvD2NiYzG7asmUL/H6/QNBerxd1dXWYmJjAyy+/jPe97324cOECjhw5IhDizMwMfD6fMDjj8bicrf7+fuzfvx+FQgHj4+P46U9/ip/97Gf4+te/jve///2SvVGJW6UEE+Jj/xAJIoRqVGhYzag262IGzRlbREGqqqpkyi1QSaYhw5U1PN6Pc+fOYevWrTh27Bg+//nP4wtf+AKMRiNCoZBAyjMzMwLPdXd3w+VyYXV1FTMzM4hGo0in09i9e7fAgBynsb6+jpmZGRiNRhnX7vP54PV6Ybfb0djYiGg0CqvVKnvOc81AhL1LmqbJOZ+amhIxZE3TxAHq9Xrp3QM22KJHjx6VQOpLX/oS4vE4jhw5gtHRUfn3vFcqa5Zq5TqdTuwY7QizU0KCb4ViDmwiBwVAshIae3rcVCqFxcVFzM/P4+zZs7jtttvw/PPPi1NhH5SmaQiFNoax7tixA2tra9I82NDQALPZLBIgNDJk9C0vL2N2dlbmK/HykWpJWZN4PA6PxyPOh9EzD8m1a9dkVAYx/tnZWSFzcN4OJ1ISPuR4BPbClEol3H333fD5fHL4rFYr4vG4wDD5fF4yt9XVVWQyGTQ2NiIQCEDTNPT09MjE1ddffx0HDx5Ee3s7Dh06hJ/97GcVzBs6LNZZVLHQzbhoOFUIBoBAJXwelbmlZlt8Pk3ThGxgsVhw9OhR1NfXw+v1QqfToaamBul0GufPn8eePXuEJBOJRKSv6emnn5ZR3Dt27EAqlRLSzunTp6HX6zE+Po5oNIqlpSXRP+vq6pKxGZ2dnWhra5N3yqmli4uLor332GOPVQwUJKuVvU6lUgmdnZ143/veJxnP0tISxsfHMTU1hQ996EOSvVksFvT29sJut6OhoUG0JkmOYD2BWbzqwLinNEDMuN6q0fmfWmqDqCrzxf2jUaUzY6ZIu8TgZmVlBd/5zneQTqdx33334cc//jHe/e53w2az4cknn8S+ffvk3VLhfnl5GTMzM2hoaEBnZye6urokGAyFQnA4HAL5c+J1fX09AIh9I2PT6/Uim81KjdLhcAi5JxKJwOv1SkZP+SwKE1gsFiH9XL9+HeVyWd7/yMgIXnnlFaRSKXznO9/Brl278M1vfhNPP/00zpw5U0HRV3snAVQE5LfC7AwQ1aZo7uWbrU3joPhg6mXgQ7BIWSptqJH39vbi5ZdflmiOxUBOs6TmnN1ux+zsrBTICYFls1mhgRcKBcFTWS/weDxYWloSA2ixWGCz2QRbBVARuZNhuLq6KmNBSDWlkvrExIRM+S0Wi5ienhYogVEOAJk1VFNTI7UI9eKrlHRqhRFO1Ov1aGpqQi6Xk+i+pqYGLpcL0WgUQ0ND2Ldvn0Bd6tAzNWNlNESDtRkXnSlhEUIL/JWLxrS2tlbgPgZBvFBkN/FiAcD999+Py5cvY2xsTLJfzvUhIeLMmTOiuWiz2RAIBFBTUwO3241YLIZ/+Id/QGtrK/72b/8WP/rRj3DgwAFYLBZcu3ZNgpqtW7cinU6jp6cH2WwW09PTot1HllahUMC3vvUtHD58WKCmQCCAV199Vdhhy8vLuOeee0SqKxKJIB6Po6amBrfddhsOHTqE/v5+/OhHP8Jf/MVf4FOf+pRQjS9cuICrV68CuFlHIKuMe6VGyRzVojp83p/NDPPd2rul1ikZxNDgqjp9aqBmMBgEjn/22Wexa9cuHDx4EI899hi+8Y1voLe3VyYYsP5ts9kwOTmJ7du3w2AwyLQF1mh4f9l7SWd/4sQJ7Nq1CyaTqYLUQNmlrq4uxGIx6SkqFosV2SADUGbnQ0NDaGtrk0xfr9fj+vXrOHfuHEZGRlBVVYWqqip88YtfxP79+/Haa6/hxIkTOH36tLxrFa0AKgUWuD/q3/Hvub8MCokmvdnaNA5KrRmozgqAKAp/9KMfRT6fx2c+8xmcPXsWp06dkpEGAHD27Fl4vV5hsJRKJZkaSfgtm81KxEw9NabSwIaxvvvuuzE0NIRLly5Bp9OhtbVVjMDS0pKwsyibQkKD3W6vUEm2WCzo6OhAV1cXLl68iGee+X/be/PouMorW3zfklRVUqkGlUpjWZM1eJKMDcYYG4MhDsY0YxbDe6sh5JGQ7vVeSPfqdHdId4eX/Fb3alZ6SOfl9SKdlwRDBojTJDE0NtgYFPAQD1geJFvWZM1VKpVq1FCSSnV/f0j7+JNxggPILuDutbwklTV8VXXvd75zzj5770Bvby9cLpcQO8bHx1FbWyuOqYODgygrK0NeXp5MnWdlZWFgYECCFT1iVKmQjIwMcWKtrq7GHXfcgTfeeANtbW0YHR3Fddddhx07dmB4eBibN29GX18fjh07Jq8zLyo1s0hnFh8vclKF+RhPa8ys1QYuiTHMAviec/D7+uuvlwHcRCKBu+66C729vbJRqWK6NpsNN954I3Jzc3HixAlhS23atAl2ux2nTp1CUVEROjo68J3vfEckq7iZ8xry+/2SNff39yOVSuHo0aNwu90yTlFbW4uKigoMDAzA6/Xi5MmTSCQS+MIXvoBQKIQ333wTDQ0N4hk1OjoqDfnx8XG0t7eLZM69996LtrY2HDx4EOvWrQMA5Ofny8bI56pS6NlPYMbE8jcPOPz8UqRrrhS4t6gWMyzbqWotvG54EFAfVxv8JNv827/9G3Rdx913342HHnoI999/P9rb21FaWoojR45g9erVqK2tRV1dHRwOB3JzcxEMBiWgqweszMxMeDweqaR86lOfwszMDCKRCAKBAIqLi1FVVSVZXFNTE2688UbJ/LiuyclJBAIBMVp1u93Stz579ix0XUdPTw8aGxuRk5ODc+fOYfny5XjwwQfxwAMPYOfOnXj++ecxNDSEV199FQDe9Zqpoypqq4OlURIimJEzw6Jbw6XuK2kToAgGG/Vz9mRYUistLcX69euxf/9+jIyMoLi4WCwReFoOh8OIRCKorq6Wod14PI6hoSHh/ttsNmHtcOMihZwnhmQyKWwsbuKadl5CSVUXV03xyJQhm4o0YTLx2P/hqZQnamZCPK1QHJLZAe0+OOPDC9LpdAqRQtM0nD17Fna7HZWVlThz5gzcbjeKiorQ0tKCW265BR6PZ96QLi8ylcGlnobSERyg5utlNpvhcrkQCATmqQLwOfE1ZnBSs8Zjx47hU5/6FD772c/i6aefxsqVK9HU1CTzJ4FAQGxYZmZmhPV53XXXCVHnmmuuwf3334+vf/3rkskuW7ZMXHEnJyfR29uL7u5u7N27V2aHlixZgp07d0pGeODAAaxbtw4ulwvLly/HuXPnhNV6+PBhaJqGO++8E2azGY2NjXjyySflFEy33q6uLhQUFMDtdotbMOfyqqqqcOjQIZSXl89znFZnutQGNjchnog5tKz2p8xms5TF0hEX9izZW+Whg/c7cL5cxZ9TS1X8ef7/wMAAvva1r2F8fByVlZXYvn07fD4fHnzwQYRCIbzzzjvYt28fvvKVr0gbgH3pcDg8b9wjJydHSnDqjB+Df15eHtra2pBKpVBXVydknI6ODun/FBYWyoGc/Uiq3gBAMBgUFX+Xy4Wqqip8/vOfxw033IDFixfjpZdeQjwexwsvvICjR49KoGbgUYfh+TsZ+Jkl8X7k9/OQeOE9eSlImwClZk/8qJ7ik8kkwuGwzP48/vjjePnll9HS0oKSkhL09PTAYrGIxbLL5UJpaalQtTVNQ09PD6xWK1wul1A0+/v7xZdJ1XZj2VDTZmVlRkZG5JQJnE+f2QtYtGgRTpw4gZmZGYyMjAhDhgZybrcbkUhEZiW4sQJAf3+/kB44N5OZmQm/3y/9ApqEsTTJ/pLJZBLDRWCWHURmWDI568Sbm5uLsbEx3Hnnnejt7UVrays2btyIV199FalUap4MULr2nC4Em8OUfGKwpviq2tRXAy5PwtPT01L2s1gsaG9vx9jYGBoaGrBhwwZYLBZxpu3s7MSSJUtk9igSiaCtrU0GqFesWIG1a9eKnuL09LRsHhkZGTLBf+zYMVEW+PWvfy29kLvuugtHjx5FOByW58Vy9PDwsFjA/NEf/RF27tyJ6elp3HHHHfjqV78Kq9WKmpoaJJNJnD59GpOTk7DZbND1WZ0+TdPQ1taG5cuXo6ioSBiARUVFIqfFoXbeZ7wO1D4e//9CrUOekgHIwHG6Q1WpYUmTmRL3HfX5q9kX3zMGMW7KTz75JMxmM55//nncfvvt+Na3voX8/HycOXMGP/7xj/Gv//qvKCsrk0Or3W6H1+uFw+EQc0P2qDIzM6V0R5dtlvnGx8dRV1cn7MpkMomenh6UlZVJVYfuuytWrEBrayvefPNN+P1+BAIB2Gw2lJSU4KGHHsKjjz6KiYkJ/OY3v8Hx48exe/duPPnkk1LuJtSsSX3PWW1hO4AZuMruJPizzLYvdZ9JmwClMrAuTLFZnuPN0t3djcWLF6O+vh4dHR1iEmgymURJwuPxSM+KUiH8x42JlE3+HTXocKAulUqJcypwfpKegYbrGh0dxdDQkMgrVVZWypvAUyXZdUzt2T/ihsqLIpFISGY4MzOD0dFR2O12KT/xhMVATisPnvSvuuoqCVxsZg8PD2N6etYN+OzZs6LKTSIKL0JmFcwqmeGlG3id2O32eRsr/WlMJpM0innjkDCi+uswINCuhOWxxsZGXH/99Th48KBM1tfX18t8HXuSZFYNDg5K/Z9q0T09PcIa5WZHRZOGhgZ4PB4cOnQIb7zxBkpLS1FZWYnp6Wn09PRIHzWVSuHMmTOoq6tDW1sbhoeHRT/P5XLhzjvvxMzMjKit0LcHwDxbl02bNiE3NxfRaFROz8DsxhEMBmV+SS33cuhS7dupNHReJ2pP71Kow1cKXJsaeNWMADivUAK825dOVfrgPcvyPoPanj178Oabb+LBBx/Etddei9raWnz/+9/HX/zFX+DQoUMoLS2FyWRCc3MzAKCiogL33nsvkskkysvL5YDO2UyqU5DwQI8mjs+wSsQDKgNtPB7Hz372M3R1dWHVqlUAZvtDDz30EL70pS9hamoKu3btwujoKF588UU0NjbKAYNZolr+577Ae4nXAF9Tvh4q2xGAlB7VRIOEjo9UD0rl7jMIqOwsALJR79+/H4WFhdiyZQs8Hg9++tOfIisrC6tWrYKu6+KLQlaf2+2WuQOr1QqHw4GxsTFhxWRmzsrwq6y7gYEBSfvJntM0TfT5VEaPxWJBV1eXqAjTc6WqqkpucJYOQ6EQJiYmkJubK7XaeDwupBDaNJAGTwp5PB6H3W5HUVGRNExJwKB9dyKRQFVVFTIzZ+2jeYEtXrwY09PTOH78uPS8/H4/6uvrcerUqXknIF6EDEqXmopfblx4rVA6hX5IfC0pF6P21hjA2KSenp5GX1+fNLI3bNiADRs24J//+Z+xadMmTE9P45lnnoHL5YLX68Xk5CROnz6Nnp4eLF68GM3NzfjqV78q1hirV6/G7t27UVZWhv7+fjQ2NsLtdsNut2PFihU4fPgwLBYLysvLsX79epw+fRo33HADjh8/LrNLRUVFZ65lmAAAIABJREFUyMjIEBsZVg7y8/OFUXr//fcLPZh05BMnTmDRokVwOp2YnJxEd3c3Vq9ejYGBARQVFYmEzpYtW2Sj5omWmwtw3lFAPbzwcfZNWPbmpsiyVzpCpTfzIzdRlTGsHk7VvolaalNLXWqmoPaynn32WWzbtg0lJSXYunUr6uvr8c1vfhOZmZl4+umn4fP5MDg4CLPZjF27dmFgYADr1q2Ta3TRokUIh8NirbJr1y4As4eGffv2iW4oxWitVitGRkbkn8vlQltbG2w2G2677TbcfPPN6O3tRTAYxDPPPIMXX3wRx48fl9YIM2QeNtT2CgOKSiJRqxE83KsZJtmfFw7kqj3gS0HaXFFqIOKTUW8Kk8mEM2fOiM11PB7H4sWL0dHRgdtuuw1vvfUWpqamUF5eLqoM0WgURUVFcDqdktnwxvf7/fK52hBmKs9TFKey+Y+lJA78cfgvGAzKejVtVrae2ncejwfxeFxoxKzF8mLnRwDz5q+AWRkeDibTC4pEidHRURGlpD9UYWGhPB/OQ6iyPPy7lHZi01SlmjMbUdP8dAPLYAz+3GBoNEmqOSn//H8qIfC94vR8ZmYmzp49i8nJSWzfvh2JRAJLlizBvn37RKqmqakJZWVlsFqt6OzsxKc//WmUl5djbGwM27Ztw6ZNm+D1euH1emEymTAwMABg1vZ7ZGQETqcTJSUlyM/Ph9frxeLFi0XxPB6PIxAIwOPxiCo2b2ayu+iiyn7PddddJx4/jY2N8Hg8+Mu//Et873vfw9q1a1FUVIQXXngB69evR05ODvx+P1auXInFixeLoC0AOZVzA2YJhyKxAObN3TEzBc5TjplBpDPISuVhhRsnAxUPxSoTlIdIbra8N4DzUlvcNxis1SwiEong2WefRX5+Ptra2nD99ddj+fLl2LJlC4qKinDgwAF85zvfQSKRwOnTp5GbmyvVEv5+ChIAkIMO13zo0CEpPdtsNoRCIRQVFWHZsmV49dVX0d3djTfeeAOdnZ3Yt28f9u7diyNHjgA4L2fFsqaa6atVLB5WeU3wAMs9Q30t+f9Uj+A1zAyU9+FlKfFpmtYNIA5gBkBS1/U1mqa5AfwcQCWAbgAP6Loefq/fxdIBSwWq1Ao/Hjx4EF6vF263GwcOHMB9992Hnp4eNDQ0oLS0FAcOHEB1dTWKi4vR1NSEiooK6R85HA4JXHzh6MrL8mBGRgb6+/vFiM5qtUqTnBsG+1TMUKgYHY/H0dvbK7TStWvXwuPx4MSJE+jv74fb7ZbspLi4GBkZs9pbqvo1y3bsrdAWPi8vD6WlpTJEyVMtFaf5Go2MjKCwsFCyw7GxMbEop+QS7cWXLl2KdevWoaurC2fOnJGLkhcs8G4KaTqBsjLsEaqyVE6nE0NDQ/K9VqtVLAbUcozaZ+AwbSgUQnl5OU6dOoWXX34Zq1evRm9vL/7sz/4Mf/d3f4c1a9ZgdHQUV199NW655Ra4XC5UVlaKWsDw8DCi0aj0v6LRKLKzsyXzCgQCqK2thcViwZkzZ7B//34cOHBAyC80J+RGyDk7j8cjB66enh6sW7cOWVlZYiGzefNmvP766zh06BDGxsbQ1NQkPSiPxyM05FOnTmF0dFQcW1OpWfXzVColWm7cyFOp1DxiCTekC1lb1AFM5/Ie7xm15wRgnl079RxJI+fzY/BhhqAGZLU0zsyA9wzvZ13XEQqF8LOf/Qy/+tWvYLVasWXLFixZsgQ2mw2PPvooiouL5zn7BgIBDA8Po6qqColEQmzW6c4cDofFHTuZTKKoqAg1NTVwuVyYmJhAY2OjzDr++Mc/Rmdnp8x3cq9RWYrsJfEeUpl6KolMZeDx/9UDt2rNwkyUwU5lAV4q4/PDyKBu1nU9qHz9BIC9uq4/pWnaE3Nff/W9fom6aD4ZlVkGzKqad3d3i5aYyWRCWVkZzp49KwNwra2taGhoELFVKgDb7XaZ5wAg6r7cqHJzczExMYGBgQH4fD6UlpbKXIFKp8zMzJQ5A84wDA4OiqWz2WyWDYlvEi8w9U0h3ZKzOGqJDTiv6s4ZCd4gZKtxPovPh8rA3Cx44gUgzW32zRj8ampqUFdXJwN7KiuHp6J0PRVnZGRIDT6VSkmAotwUbyRuLgwY7ANNTk5KRqKK8r766qui5sCTaVZWFo4fP45Fixbh6NGjGBoawm233YZf/OIXqK6uxuc+9znU19fDarXi7NmzyMnJmaeSzxJKIpFAKBTCmjVrpP+oKj+kUikEAgFxy6UKP0tMPF1XVFTMK5FQDaCrqwvZ2dm47rrr8Mwzz8BiseDaa6+VLDIjI0MYqrm5uRgaGsLbb7+N3t5eeY1YVlYHL00mk5SR2OMDIKouzBZsNhv8fv+VuiR+L9QKCTdT1aKcPUu1B0tlfG7QDB68L9QRBvX9UFmBfB0ZvLkfPf/88xIgMjMzhbhFDymXy4VFixahu7tb9iCLxYKRkRG53jVtVimit7cXO3fuRG9vL5qbmyXT4VpYemWgUA8c6r3OEQ3uBSqTWA1kJDvwsMe5ON5r6sgO+1IqW5KZ+KVgIUp8dwPYNPf5swAacQkBShX15JutXizcWPbs2YMNGzbA5/MhHo9j9erV2LVrFzweD7xeLzo7O/Hyyy/LbMfw8LAIyo6NjeHEiROorq6G0+mUEwMwu8GHQiGxdOdNSSdfl8slb6zP50NlZSUsFgv27duH3t5eGcAtLCxEdXW11PuXLl2KpqYmxGIx3HrrrYhEImhvb5eUXB0AVE8rZrMZxcXFGBkZwfT0tJQKKSKZnZ0Nq9UqQdtkMsHr9c4zR6OIqNVqFdJIX18fOjo6kEgk0NDQgOXLl+O1116b1yRXbQfSUeYImL34OWBNYzbeJJwxIeuRczwkxPCGY1+PGfXevXvhdruRmZmJhoYG+Hw+BINBeL1epFIp/Omf/in+5m/+BhkZGfjbv/1bRCIRvPLKK/jGN74Bp9OJb3/729i4cSPeeustuN1uCTLxeBxZWVlSfmSNPhQKIZFIYOXKlWI6yFkm9jfZN2VPdXJyEp2dnSgoKMAPfvAD2O12dHR0wOv1Ih6P4/HHH8fZs2fxX//1X/D5fFi6dKl4ldHTqa6uTu6ro0eP4rXXXnuX3QZZhDwdq+xTMh95QCNBJ50zKIJZIHtoLDnRloQbNw8QPNgwmKjUaf4uVQKKe5dKR+c9rgZDXoP8W8FgUIguaqlNJSZwf+RjVH3h11wPMyAA82b/uB61H8SfY4LAzEoNsNyXVJUNld2oPh+un4dkvjZqSVDd498LH7QDrgPYrWnaO5qmfXHusSJd131zb5IPQOHFflDTtC9qmnZU07SjfDPVlJrBiTclS3IzMzPietvZ2Ynh4eF5PPxt27Zh/fr10DQNkUgEp06dwunTp3HkyBH09PTA5/OhsbERe/fuxYEDB3D48GHJgGiJXFJSguHhYbhcLglYLAUCQGFhIV577TX5PUzhnU4nampqsH79eqRSKbjdbuTk5GDFihUIBALYuHEj7rvvPjntkzbPGRfONlVWVqKyslLME4HzahnM+qjfRmZiMpkUhlA0GpXm+szMjEyOOxwOkUGhCy9JBWr5Rj3dpGsfigPSvHmYFXHejeVQZpJqAOOmy0DMEyD7fGfOnME999wDXdeFWVVUVCQae9dffz2am5uxd+9eDA4OYvHixaIE8Q//8A9CPJmZmREBWG72yWRSrmNmXLRHIPuO5WQessgIZXazbNky/Pu//7swWletWiVeaDt27EAsFsOiRYtEpJjv6cjICMrKymR2TvUf4muoZnzcrNjjY6bEEzlPzPx/XqvpCJaiWMLkc+SGrpbZVeIDDxRqrxM437skuKEzO1B7c7yv1L6W2lZQyQmpVEoOC3zfaEKqvi/j4+PzhmL5vPj7gfPkD+6n7KWpZCgGGz4ntYSXTM7KsLHyQ8YiMJ/scGG/TiVaMIjymjGbzZKFXgo+aIDaoOv61QC2AvhfmqbdeKk/qOv693VdXzPXt5Kor5aa5r5PPjI9PHXqFKampjA8PIxz585h5cqViMVicLvd6OzsxB//8R/LDU9mncrCIWsvEokgHo+joqJCaJrZ2dmwWCxSnrNare+al0ilUhgYGEBfXx9MJhOcTid0XYfT6URpaSmqq6tFUZqZUjgcxokTJ6TUx9On+nxZ6qGmW1ZWFnJyclBQUDBvLUyxVXFGj8cj9vL8vQDmlTR5AiLFnY+RLKKytS4MVOkKPj9uMLzxSBShKSBLWPx/APNeI5YsWlpakEgk8NZbb+GRRx4R1mZGRgbKyspQXFyM0tJS/PznP8eOHTvQ19cnZdUf/vCHOHfunFhqWCwWjI6OyuxRKpUSZ13esOvWrZNhcq4lmUxKZjc1NSUqIhxl2LFjB3Jzc2Gz2bBy5UpkZGSgvLwcLpcLPp8PPT09MJvNaGhokFO51+tFQ0MDUqkU1q9fj8nJSfzgBz/AK6+8Iv0mTdPmbSjMuPLy8mS2KpVKweVyiWUNg1hWVtYlWXh/WNA07TZN085qmtYx10p4TzCDVrMNdQCV9yK/R+3L8uOFg6cA5nmLXUg8YObAx+fWPq9sBpz3SWIvjIGOGQvBYKGOx6iBgWtQr3MGQ3X9DLT8G3we6vckk0nxl6OYAEuj/Dl9ju2pvhYMpAyMDFQ8GLH0dyn4QAFK1/XBuY8BAL8CsBbAkKZpJXNvRAmAwKX8Lr6hcz8nJ16e2NQX+OTJk+jv75eGsK7rItz59NNPA5jNOFatWoVgMIjm5mY5UVNok8GAsytMgaempoS8UFxcjIqKCmlUk8HEsk0gEBDBTbfbLc6YfX19CAQCaG1thc/nw+HDh3HkyBF84xvfwAsvvIClS5fCbDajvr4eHo9HpO9ra2tRUlKCoaEh+Hw+jI+PY82aNbjqqquQn58Pu90ufYK+vr55XkJXXXUVLBaLWHfoui6bKXB+tooGdzMzM2htbYXD4cC6devmlcc+CuCJEJgN7FRnVksc09PTQnBhj0EdSGXwUgkqHR0dKCgoQEtLi5SBaUxZVlaGq6++GhkZGXA4HFLmvf766+F0OnHw4EHk5+eLrQLnV4DzGws3L/YUKyoqsGjRIgmqnLlTsxmWljmKYbFYpHxLzUi+r8wYXS4XHA6H9AnI5GRGyMFg2tiQIMEsicQR9sCi0ag8j1gshnA4LIPK7EldrnKwpmkZAP4dswfj5QD+u6Zpy9/r5/hacF9R6eXAeUNDXkNq6YzBgO+FmlHydefhkO8lS4dqH5dBUQ103OOYgVH2iIdP/m0GELXUx2tJLTmqAZi9MwZEPk8GID53Vd6MeyH/8f1Vs0I1iPO1VIMq93AeCtXqDJ/HpeB996A0TbMBMOm6Hp/7/FYA/x+AlwA8AuCpuY87LuX3XVgzVTMnnix4c/v9foTDYaFdcziRmcS+ffsAQFgv/f39YtzGtDUUCskFYLPZ5p04yO5zOp0it8/v5Y3ON0edrDebzXA6naL3l0gkcOzYMakvT0xM4NSpU7DZbMjLy5PSHN9kXqQcpOQGlZubK6cU9orYh2L/hdkTey3MttSLkTdFIpGQMheVJtQyAW/UdAavBYfDIQcDbh4ApBzLzUA9nbL3wMFnlpGzs7PR39+P48ePo7S0FI2NjeI0qx5QzGaz9B3JHh0YGEB9fb0oWyxevFiIFlSq52A4xWdNJhPq6+vnCawODw8LGSaRSMh7Q3+iVatWobu7W4JvQUEBUqkUWltbRXyYOn8MzNR2m5mZwc0334xoNIqXXnoJx48fl2DEngw3R26uAOT1ZZO+oKAAk5OTErRIMLqMWAugQ9f1LgDQNO0FzPa+T/+uH+BzvBjUbEKF+jWD74XPk1kjM6QLszPV9kUNCGpw4+auHhBVghgzl4sx4NRRHLVPxPWwx87AxmtfDZwsf869lvMCj9pvUyn5vKcuzN5UwoWu60I8YQLCg+Ol4oOQJIoA/GruBc8E8DNd11/VNO0IgO2apn0eQC+A+y/ll/FFV180RlpGa54OqUH28MMP48iRI/jHf/xHHDlyRIYj29rasGLFCvT29s6bISDRICMjA1u3bkVjYyPC4TBaW1ulzh+Px0U8lv0aEg7I0qO1PKmhHHSsqanB4OAgTCYTent7cfr0aZHC2bRpE/x+PxwOB06ePIkHHngAW7duxbFjx/DLX/5SFLVNpll1BM66dHZ2Ijs7W3pOIyMj4mtFC29udlQuZ4AlFZ1Btbe3F6FQSAZIrVYrwuEwTCYTGhoaxBZA7QOmK9iI5Q2n1uRZqtK087JBnBMDzm8OpN3ymmLQ+u1vf4vPfOYzGB4exsaNG9HY2CgGg9XV1RLI+dr9+Z//OTIyMvAv//IvYsXCWRb6/GRkZIibcTwel/k6v98vsjW0TOEMCRvoFDbWdR2BQEBOzGTRjY6OCsuOwYWHn0gkgpKSEnFa1XUd3/ve9xAOh9Hc3CwHErJF2ctjwGL5T7WfiEaj0rPifQq8e4NfQHgB9Clf9wO47sJvmuuLszc+CaB5oRakltcuhos9zoBJVjAAz8zMTBA4/1qqB9L3wsVef2Y/xB8SHNTfN/f3PclkMnjh96l/4wOozlRc7MH3HaDmTi9XXeTxEQCf+kN+F0ss7A+pU908DaggYUKlhtbV1WHnzp3IzMwU4kAikcD69evR3NwMv98vQ6yUBCopKUFbWxt8Ph8yMjJQVVWFSCQCALDb7ULjVht7bDbb7XZROKfpGF0rrVYrWlpaEAgEcM899yA/P1+yq0QigVgshv7+fkSjUbGzr6ysRE9PjygDALMeVgT7Wfn5+TJnw8DJpi7ZXn6/XwIdM6ZQKIRgMCgbeUVFhcxv2Ww2LF++HF1dXfMkpdKVIAGcz6wpW8WTHFXeWf7jAYfMNDacWZagYKhKqiChobu7Gw8//LBs3ABEYT43N1eYpMePH8eGDRvw5S9/Gc8995z0mNasWYODBw8CgNTwObowMTGBDRs2yAma72s8HpfnxmuZVHdVpJXBiQoC9BTj3yotLUUwGBT/MAC45557sHv3bgwNDeH111+f53dE0gZLn5Tn4mtJWR9mkiwxqkOt6lDnAuNiJ6d3Xay6rn8fwPcBYI6MtWahF/ZBkO5rvBLrSwslCbWpqDYNCZ6W1eY2yyZutxsdHR2oqKiYZ3MRjUZRU1OD8vJyPPLIIzh8+DCef/55MQNsa2uTsmAikcDZs2fR09Mj7rclJSXzWDk8jWdlZYl8Eq2U2fyORqM4cOAALBYLAoEAtm7dCq/Xi1AoJJPhHJjdvXs3du/eDa/XK46aTqdzXh28p6dHNh1glj24ZMkSaZizfET09fWhtbUVQ0NDwuorKyvD6Ogo/H4/+vv7JXUvLS1FRkaGNMJLS0txxx13YNu2bfNo/ukKljr4/Jlhk9nHz0mV1+ZmRtjHoeiuOozI3zkzM4O3334bGzZsgMlkwjXXXIPOzk4UFxdLX8br9WJwcBDRaBS9vb1obGzE1772NfzJn/wJfvKTnyAWi0lmfujQoXllaIoLRyIRHD16FB6PBytXrsTJkycxPj4uLDyytcrLy4V9mJmZKX5lbGB7vV688847EtCmpqbg9/uRSCSkh7py5UpkZ2djx44dOHLkCGKxmAQmAFIyVIfk1b4KGXsM9llZWXLy5wHhMtLM+wGUKV8vAjB4uf64gcuHtGg0sKEGQJrBwHm9J5X9ojbogsEgMjMzRTWA/SCSJjIzM7Fnzx7ouo6HHnoIX/7yl7F06VJ4PB4R++SUPbMMnhyp2MANjz0ANo8jkYjw/Mni8vv9iEQi6O7uxtKlS1FXVyelO97ssVgMmzZtwo033ohwOIxjx44BgGxA4+PjMtvU3t6OU6dOyecnT56UbJDqxH6/H319feju7obP50MoFBJK6vj4OPr7+xEOhzE0NAS/34+RkRF4PB643W6htLIExtedpbLLOQP1flhZcz8HXZ/VX2RDltcIG8hULlcZSmqPis+V1xnttlOpFDo6OsRojiZvZCKxR0iSxje+8Q10dXXJ4cZqtaKjo2NefxCYLZ0Eg0EMDg4iLy9Phng540b6OwAp3arDkDU1NdKjKi8vl+9NpVJwOBwywU/TQavVivr6ehw+fBiRSATNzc3vYrOxZwmcF0Smkr4ayDlQPDY2JoxDvp6XsW95BECtpmlVmqaZAfw3zPa+DXzMkDYZlNokZKPvwqYhP7Kmv2fPHnzxi1/Ezp07sXz5cng8HgSDQSl/RCIRFBYW4kc/+hHy8/Mlq+nt7cXevXtRXV0tlgokKHCzUG20uRnoui5kh3A4jC1btuDkyZOoqKjAjh07MDo6Co/Hg5qaGrHdpiNrR0eHlBPZzP/mN7+Jo0ePwu/3I5lMykwXG68kXsRiMWESct6K2Y86A8R6NbO6SCSCzs5OTE5OYmxsTEo9bW1tSCQScLvdMJvN4iGUm5uL0tJSMTu7XFBYWZ/G7On4iKZpL+m6/nub3qqYKTdKNpYBSABmyYqBSGUdqcoTwGwznPNh27dvx9jYGJ5++mnJftlTysrKQl5eHuLxuBBipqam8MYbb2D58uUoLS1Fd3c3ZmZmZNg3GAzC5XLB5XJJP6u9vR2RSAQHDhxAWVkZcnNzYbFYpCRdXl6OyspK3HLLLdi+fTumpqaQn5+PoaEhfOYzn0EoFEJHR4c8r5GREaGEA7OEH5YPf/rTn2LHjh1CqedzUpVKeFghA4vjEDTFY48SON/4Vw82lwO6ric1TfsSgNcAZAD4ka7rLe/xY99f+JV9YKT7Gi/7+tImgwLm0xhZclF5/vx/NZPx+/2IxWIYGxtDW1sbpqampCfDm1PTNLjdbiEplJWVweVyoaurSzYN/l1ucqpDKAOY6j9UUlICq9WKSCQiGY3T6cTmzZuxfv16JBIJRCIRkcvx+/1obW1FNBrFz3/+c7zyyiuYmJgQnyGqTA8PDwsLjyfY3NxcmT+gvh4AeZ4sY3HDZtObA6GcbVEHNLu7u9HU1IRDhw6J/9TU1BQ8Hs+VuASElaXr+hQAsrJ+JzinRhouswb22Ph6MQPIyMgQDzC+1xaLRdiTfK85D0fm0uTkJHbv3o2cnBwEAgHoug673Y6+vj4hxFA2yWw2Y2hoaB5xQWVIsofDsQbawhQWFoqSAZlPLLNNTk6ioKBArtVkMonW1laUlJRg6dKlModFQkNubi4cDgcKCwuldL5x40bs3btXDkAMXurgp9qD470GnCcvcc0M7jwoklxCUsXlgq7rO3Vdr9N1vVrX9X+4hO9P980/7dd4JdanpUMj3GQy6TzBzn0t9FhmEdxkL5xcvuqqq3DTTTdh48aNyMnJwZtvvim/w2KxIC8vDyaTCRs2bEB+fj4OHjwoPaiWlhYcPnwYa9asQWdnpxAuqHl27733isWByWTC4OAgDhw4gOHhYdx0003w+/3SP3jggQdw+vRphMNh5OTkYP/+/dA0Df39/QCAX/3qV6IfyE2ivLwcjz32GDo7O9Hf3y9MrOHhYeTk5MhwLpv/Q0NDctJnOYtEiZGREXmNSFPmkGZPT4+UclTKJ+nrAPDYY48BALq7u7Fz506hEM/hnYVsjmqadh+A23Rd/8Lc1w8DuE7X9S9d8H0qK6seC8jK+hDgAfAuxlOaYaHWWKHresEC/F4DnzCkRYkPOJ9FqVPXaimGMwBkmPF7aXPh9/tx33334fXXX583pDY2NoacnBw0NTXhoYcegtlsRkFBAQYGBrBkyRK8/fbbiEQiQhYgQ5CNYdbdk8lZEzAGgo0bN+L06dOor68XMcd4PC4bPkuG8XgckUgE4XBY1s/nMzAwgP3794tuH2v7LM8BkDklNtcnJyfnucQye7JYLIjFYpJFjY6OCk2f2QBwnmmlaRpCoZDQn7u6urBixQpkZGRISehyvv0XeewjzcpK9/UBH401GvhkIy1KfOwNsI4OQMoipJxfbC4nlUrB5/PB4/HgyJEjcLlcsNvtwt7ihk9aeVNTE86ePYvR0VGhoX/uc5/DXXfdhYcfflgGGjk3BUAkhTRNEzuNkpIS5Obmora2FpFIBG+88Qb27NkjRAQ6omZmZsLn8+HEiRNSnqSMDGv3r7/+OpxOJ4aHhzEwMCCW5dPT0+ju7hYjvVAohOzs7HmDnna7HYsXL5ayVEHB7KF1bGwMQ0NDiMViYkmhsgMZ5Ml6HBsbk7/NstdlhsHKMrBgeL8EnA95DT/SNC2gaVqz8phb07Q9mqa1z33Mm3tc0zTt/8yt96SmaVdfhvWVaZr2pqZpZzRNa9E07c/SYY1pEaBU8ORPrTiVFKGW9tS5qZ6eHjgcDsTjcVx99dXw+XwAZhve0WhUhhRpk/ziiy/i3nvvxZYtW2SOxuv1oqKiQqjL7AkxK6G3j9lsRllZGVKpFG644QaxP/jJT36CwcFBNDc3Y3h4GOPj45icnERLS4sQLtgnYHZIaZ6enh5UVVVJ0OHMFQVlBwcHce7cOfj9fvGkIZuKfk+rVq3Cpz/9aTz66KNoaGhAfn7+PGFLstsYIMlyY9A7d+4cAoGA2JBcZhisLAMLAu19yiItALYBuO2Cx2hNVAtg79zXwOxaa+f+fRHA05dhfUkAX9F1fRmAdZjVVl1+pdeYdgGKUOePVMKEqo1F5l8oFILVakUgEMDKlSuFQs1NmbYL4XBYDL/GxsawZs0axGIxtLe3IxAIYP369fOEPOm9RIKE6nbb3d2N1tZWhMNh+Hw+TExMoK2tDeFwWNataZoMdqoMM/5+yvjTviAUCsnsE3+W9GcqdYfDYbHCcDgc4iNDm3uz2Ywbb7xR9PVoHUKpKFWtOCsrSyRPqNweCoXUyfbLAl3XkwDIyjoDYPvHgJWV7usDPhpr/KD4gwk4CwFd198CELrg4bsxa0mEuY/3KI8/p8/itwBc2py+6QKuz6fr+rG5z+OYvQ+9V3qNaRugAIj2HL1wSM9mD4e9po6ODmRmZmLfvn3VNYLlAAAQGUlEQVRYtGgRbr75ZtnUGWTi8Tja29uxZMkSeL1ePPXUU0gmk7jzzjtRU1MDu92OZcuWoaGhQTK3WCwmrqTqlL/FYsHQ0BB+/etfo729HR0dHWhtbUVHRweysrLEk2lmZkbUsJn5qKVKMrZ6enpE8sbhcAhdNz8/XyjBuq4jGo2iu7sbXV1dotJOFlYsFpNeV2ZmJiorK8X4jsw9aoPpuo4lS5agtrYWOTk5yMzMxLp168Rb6Erg48bKSvf1AR+NNX4IuJgskvcKreVC/C5roiu6Zk3TKgGsBnDoSq8xbUgS7wUOlHJzVzd6n8+HqakpxGIx6Louvjrs9YyPj8PtdsPtdmP//v0yZ3Lq1CmsWrUKvb29WLVqFfr6+lBZWYkzZ85IIOTfYMmRWQezGxI2ampqxMZCpcVz6BE4L+nEtbF0aTKZ4HK5xNl2enoaHo9H1kDCBanvuq6jt7cXmZmZ8Hg8wnI0mUwYGhpCOBzG8PCwzDKR/ssMlJ5GgUAAoVAIuq6L8rXf779ccjUGDFwOXBIBJ81wxdasaVougBcB/Lmu67EL+/7qt17ksQ99jR+ZAAVg3vAoBwe56bPXo2karrnmGuzbtw/BYFDsArq7u3HnnXfi7bffFqbanj17kJWVhaVLl6Kjo0MGInft2oXx8XHRdaO9Boc+rVYrDhw4ALPZjOXLl8NsNqOmpkasO+iXEo/HRWaHFG8SPihLw4AzMzODiooKmcvijJPD4RCSRjKZnGcvomka9u3bh5mZGVGYpmoCGXyk6dNVuLy8HJs3bwYwqzeoGuXt378fPp8PKuXfgIGPONKZgDOkaVqJrus+bb410RVZs6ZpWZgNTj/Vdf2X6bDGtC7x/T5wop2lvGAwKHJEzFI4eMiB2sHBQeTn5+Oqq64Swc7q6mpUVVXJZt/c3Ixly5YhIyMD8Xh8XkAIh8MSYPg4MNvL6enpQXt7u/SootEoHA6HKDiolg/8maqqKlRWVgr7kEPAgUBAMjHatVdUVEhZjlJFhYWFYstBuaacnByRzamsrMTGjRtRW1uLgoICVFdXo66uDg6HY56rZSqVwvHjx9HW1ia09XRFOjCy5tZhsLI+GkhnAg6tiYD51kQvAfjs3HuyDkCUZbaFgjabKv0QwBld1/81Xdb4kT4qc9Ofnp5Ge3s76uvrRbbHZDKJ/trk5CRKS0uxd+9e1NTUoLW1FRkZGSKqmp+fj82bN+Pxxx+X0hgVKGw2GwCIfTv/jY+PY9myZaLg0NLSArPZDK/XC6vVipycHJw6dUrUACiPw6n9q6++GrfeeismJycRCARQVlaG22+/HdFoFEeOHEFTU5PoujkcDgwNDSEvLw8lJSXIzs6G2+1Gfn6+2GgwExoZGRFfrBtuuEE8i86dOydahbFYDAAQDAYxMzMjIrmXUezzfUF7H5JIC4htAP4vgOeUx8h4emoueD4B4KuYz3i6DrOMp3fZQ3zIICvrmKZpdgDvaJq2B8Dn0miNC473KYv0oUPTtOcBbALg0TStH8D/xqxn3sWsiXYCuB1AB4BxAP/jMixxA4CHAZzSNO343GN/c6XX+JEOUCpGRkaQnZ2NWCyGzMxMUQgnwSAzMxM5OTlYunQp2traMD09LX2fvLw8UbmORqPzhoFJirBYLCJno9ov8PfHYjEZ2s3IyEAwGMS5c+feZcucnZ2NwsJC3HTTTRgdHYXdbsfKlSuRl5eHpqYmsXx3u92i7zc5OYnR0VEMDg6itbUVZrNZnF0tFgvy8/PR1dWF2tpayR6DwSDi8bhkVKrYrTZnM3H27FkpSQKQtaYx/mCjuoWCrutvzTWTVdyN2U0ImGU8NWJ28xfGE4DfaprmYtlkAdfnA8DmdlzTNJWVlRZrvFzQdX0nZjfUK7mG//47/utd1kRz78H/WtgVvetv7sPF+0rAFVzjxyZAAcB3v/tdfPe73wUA/OY3v8G5c+fE38hms8Hv92PdunWwWq3Yvn07MjIy8J//+Z9oaGhAf38/br31VjzxxBMwmUyora3FyMiIkDOot6bP6Zt5PB6RLiooKMAdd9wBm80mFHcOywIQdepkMonq6mo89thjohlYVVWF4uJitLW1AQB6enpQVFSEJUuW4K677oLD4cDg4CAGBgYwNDSEgoICZGdno62tTdQmli9fji1btqCvr08GeiORCKqqqpCRkSGkDwAIBAIYGRlBKpUSUVjS36nbl8a4JKO6K4h5jCdN096L8XRZNv/fx8pKlzUaMHAxfKwClIqbbroJzz77LEZHR7F48WKUlJQgFAphYmIC5eXlMJvNos7c0dEBl8uFuro6rFq1Cq2trRgYGEBeXt48L6qJiQmMj4/D5XLJXBOdSJctWyYSRDk5OdK/SiaTYinvdDqxdu1aIVGQlcjZo9LSUmRnZyM7Oxsul0vcW3NycmCz2ZCfn4/KykoxSkwmkxgdHUVXVxeqqqpQXV2NU6dOIRaLIRgMCpGCwWl0dFQCbCKREIdidWYszfFRZGQBBivLgIH3hY8sSeJS8Mgjj+Db3/42Hn/8cbS1tWHVqlWIRqMoLCzEyMgIzGYzrFYrfvnLX2LXrl0oLy/H17/+dQAQ6wEqW5A0QWUJ+kkBgNPpFAZdVlYWpqenJRgAECuDRx99FBs2bMDY2JgoQUciEezevRuJRAJ2ux3FxcUiczQ+Po6BgQFMTk7C6/Vi7dq1aGlpwbZt26BpGrxeLyorK5FMJvGLX/wCLS0tWLt2LQYGBpBIJHDs2DH4fD44HA6ZueI8Gd1ZWXpk6S/Nkc6MLGCO8QQA6c7KSpc1GjDw+/CxDlAqvvKVryAQCKC1tRXJZBJOpxMAZCCXahDLli1DbW0tiouLpb9EYgMJD7FYDEuXLkUikRC7A2Y01PJj1kXjQzLxmNWwJ6ZpGlavXo2ysjL4fD4Eg7Pi0tqcWWJxcbH0j1KpFK699lpUV1ejt7cXzc3NsNvtcLvdmJ6eRl9fH0wmE8bHx8W3CICYJZI6r86KMTCpNgxpjHRmZAEGK8uAgQ8Vn5gABQCf/exnsXXrVimj0d7d4XBgYmICBw8eRCwWw3/8x3/g7rvvxujoqGj+cSNPJpMIh8M4fvw4zpw5g2AwiNdee038nxwOB4qLi/HOO++Ikd7k5CTWr18v2oCUJqK/j8PhQE9PDxKJBJxOp+j1ARBTPavViqmpKTgcDtx8881Ys2YNioqK8Morr6C7uxulpaWiakHdv7fffhuBQECswhkQZ2ZmEI1GpbxHY8jLZTj3fvE+JZEWBHOsrIMAlmia1j/HcnoKwKc1TWvHLNPwqblv3wmgC7OMp/8H4H9ehiWSlXWLpmnH5/7dnmZrNGDg9+Jj24N6L/z93/+9fP5Xf/VXyM3Nxauvvor9+/dj8+bNMJvNSCQSYkRot9sxNTWF3NxcRCIRGeytrKxEKpVCU1MTSkpK0NPTg5qaGrjdbhksttvtWLFiBdrb27Fo0SI4nU50dXWhvr4eqVRKKOR2u13o8RaLBTabDSMjI2I7Yrfb0d/fD6vViqVLl6KsrAzT09OIx+NwOp0wmUw4evQoNmzYgDfffBMDAwNob2+Hy+VCSUmJ0OoZwCwWi1iMUCMw3VUk0oGRNbcOg5VlwMAC4xOVQf0u/NM//ZMofI+MjKClpQV+vx/A7KwVsyBKBkWjUWiahrq6OrhcLni9XkxMTEi5MBaLyXwWbbXZ70qlUojFYnA4HEgkEujo6IDD4RDjQbvdDpvNJnbadrtdaOH8G6SXW61WlJWVwev1Ynp6GoWFhSJWazabkZ2djZ6eHhHU5TqYLTFj4vBwumdQBgwY+GThE5tBXYinnnpKPv/Wt74Fh8MhKuos8+Xm5kLXdQwPD6OqqkpmlkKhEAoKCmC1WhEKhaQsNzo6CrPZjIqKCrEn7+3tRX5+Pmw2m8gKUWNv0aJFCIfDAGaJF93d3TLDxD4X569MJhOcTicqKirE5lzXdeTl5WFoaAiJRAJlZWXo6OiA2WzG6OgovF4vBgcHJXAyIJFinu6DugYMGPhkYcEyqHSRpHk/+Ou//msp8ZGcwMxDm7P6sNlsIuw6MTGB6elpTE1NyQwSg5vJZEJ+fr58HggEpAdltVphtVphs9ngdDqRSCQkw2LJjX+PxAqK5DKTysvLk76VzWbDmjVrRLmisLAQOTk5GBsbg9PpFM0/mh66XC6YzWb5nRzyNWDAgIF0wIIEKC19TMLeNx599FE0Nzfjhz/8oQQLzhNZrVbk5+djcnJSZp3q6upw3XXXwWq1orOzUxQtGIQIyhXl5uaKB5PNZsP09DRisRgmJiaQmZmJwcHBeazAiYkJUbWgYzDJD+rXJEJ4PB7E43GsWbMGzz33HILBIAKBALKysqTUCECEa43yngEDBtINC5VBpYVJ2IeFJ554Qno2ExMTsNvtIhg7NjYmPR2WymgSyKxkeHgY+fn5cLvdYo3B38XgROX0ZDIpxAWWFqnaDkAyJW3OHZf9pqysLOTk5MDhcKCurg65ubmIx+Ow2WxIpVLo6uoCAJFropAt5Y+MAGXAgIF0w0IFqPc0s9I07Yuaph3VNO3oAq3hQ8Xjjz+Ow4cPo6WlBVNTU+jr60NRUZH4MEWjUfh8PglMlBCyWq2wWCwYHBwUawwSKJxOJ0pLSzE6OorMzEwEAgGxms/KypJ+E/tUMzMzCIfD6OzsFFNEUuCzs7ORm5sLk8mEJUuWYOvWrejr60N/f7/4PKneUtFoFACkd2X0nwwYMJBu0BZiOFPTtPsBbNF1/QtzXz8MYK2u64//ju8fBjAGIPihL+ajAw/S9/lX6LpecKUXYcCAgU8WForF9wfJpui6XqBp2lFd19cs0HrSHp/052/AgAEDF2KhSnzpLkljwIABAwbSHAuSQaWLSZgBAwYMGPjoYsEGdd+HJM33F2otHxF80p+/AQMGDMzDgpAkDBgwYMCAgQ8KQ4vPgAEDBgykJYwAZcCAAQMG0hJXPEB9lDX7/hBomvYjTdMCmqY1K4+5NU3bo2la+9zHvLnHNU3T/s/ca3JS07Srr9zKDRgwYODK4IoGqI+DZt8fgG0AbrvgsScA7NV1vRbA3rmvgdnXo3bu3xcBPH2Z1mjAgAEDaYMrnUF9rDT7fh90XX8LQOiCh+8G8Ozc588CuEd5/Dl9Fr8F4NI0reTyrNSAAQMG0gNXOkC9p2bfxxxFuq77AGDuY+Hc45/018WAAQMGrniAupgltcF7N14XAwYMGLjiAeoP0uz7GGKIpbu5j4G5xz/pr4sBAwYMXPEA9UnX7HsJwCNznz8CYIfy+Gfn2HzrAERZCjRgwICBTwoWTOroUvBJ0uzTNO15AJsAeDRN6wfwvwE8BWC7pmmfB9AL4P65b98J4HYAHQDGAfyPy75gAwYMGLjCMKSODBgwYMBAWuJKl/gMGDBgwICBi8IIUAYMGDBgIC1hBCgDBgwYMJCWMAKUAQMGDBhISxgByoABAwYMpCWMAGXAgAEDBtISRoAyYMCAAQNpif8fgepdJhFntPsAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# visualize center slices (sagittal, coronal, axial)\n", + "slice_0 = ras_postonpre_t1_data[128, :, :]\n", + "slice_1 = ras_postonpre_t1_data[:, 80, :]\n", + "slice_2 = ras_postonpre_t1_data[:, :, 94]\n", + "show_slices([slice_0, slice_1, slice_2])\n", + "plt.tight_layout()\n", + "plt.suptitle(postonpre_t1_basename)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Seg3D Mask of PostT1 Segmentation" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(256, 160, 189)\n" + ] + } + ], + "source": [ + "# load postmri mask\n", + "mask_post_basename = make_bids_basename(subject=subject, session='postsurgery', processing='seg', suffix='T1w.nrrd')\n", + "mask_post_fpath = bids_root / f'sub-{subject}' / 'visualization' / mask_post_basename\n", + "mask_post = open(mask_post_fpath, \"rb\")\n", + "\n", + "# load nrrd file of postmri mask as array, check dimension\n", + "mask_post_data, header = nrrd.read(mask_post_fpath, index_order='F')\n", + "print(mask_post_data.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'sub-la02_ses-postsurgery_proc-seg_T1w.nrrd')" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# visualize slices with ablation (sagittal, coronal, axial)\n", + "slice_0 = mask_post_data[145, :, :]\n", + "slice_1 = mask_post_data[:, 117, :]\n", + "slice_2 = mask_post_data[:, :, 75]\n", + "show_slices([slice_0, slice_1, slice_2])\n", + "plt.tight_layout()\n", + "plt.suptitle(mask_post_basename)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Seg3D Mask on Post T1" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'sub-la02_ses-postsurgery_proc-seg_T1w.nrrd on sub-la02_ses-postsurgery_proc-robustfov_T1w.nii')" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# postt1\n", + "slice_0 = ras_robustfov_postt1_data[111, :, :]\n", + "slice_1 = ras_robustfov_postt1_data[:, 119, :]\n", + "slice_2 = ras_robustfov_postt1_data[:, :, 114]\n", + "\n", + "# seg3D mask of postt1\n", + "slice_01 = mask_post_data[145, :, :]\n", + "slice_11 = mask_post_data[:, 119, :]\n", + "slice_21 = mask_post_data[:, :, 75]\n", + "\n", + "# overlay of postmri with its mask\n", + "# sagittal, coronal, axial from left to right\n", + "fig, (ax1, ax2, ax3) = plt.subplots(1,3)\n", + "ax1.imshow(slice_0.T, cmap=\"gray\", origin=\"lower\", interpolation=\"none\")\n", + "ax1.imshow(np.flipud(slice_01.T), cmap=\"gray\", origin=\"lower\", interpolation=\"none\", alpha=0.2)\n", + "\n", + "ax2.imshow(slice_1.T, cmap=\"gray\", origin=\"lower\", interpolation=\"none\")\n", + "ax2.imshow(np.fliplr(np.flipud(slice_11.T)), cmap=\"gray\", origin=\"lower\", interpolation=\"none\", alpha=0.2)\n", + "\n", + "ax3.imshow(slice_2.T, cmap=\"gray\", origin=\"lower\", interpolation=\"none\")\n", + "ax3.imshow(np.fliplr(slice_21.T), cmap=\"gray\", origin=\"lower\", interpolation=\"none\", alpha=0.2)\n", + "\n", + "plt.tight_layout()\n", + "plt.suptitle(mask_post_basename + \" on \" + robustfov_postt1_basename)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 0.898 , 0. , 0. , -115.22799945],\n", + " [ 0. , 1.45454049, 0.21941006, -126.48405766],\n", + " [ 0. , -0.36649862, 0.87078309, -13.1171681 ],\n", + " [ 0. , 0. , 0. , 1. ]])" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# affine matrix of postt1\n", + "ras_robustfov_postt1.affine" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Seg3D Mask on Coregistered Image (postonpre)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'sub-la02_ses-postsurgery_proc-seg_T1w.nrrd on sub-la02_ses-postsurgery_proc-postonpre_T1w.nii')" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# postt1\n", + "slice_0 = ras_postonpre_t1_data[111, :, :]\n", + "slice_1 = ras_postonpre_t1_data[:, 117, :]\n", + "slice_2 = ras_postonpre_t1_data[:, :, 114]\n", + "\n", + "# seg3D mask of postt1\n", + "slice_01 = mask_post_data[145, :, :]\n", + "slice_11 = mask_post_data[:, 117, :]\n", + "slice_21 = mask_post_data[:, :, 75]\n", + "\n", + "# overlay of postmri with its mask\n", + "# sagittal, coronal, axial from left to right\n", + "fig, (ax1, ax2, ax3) = plt.subplots(1,3)\n", + "ax1.imshow(slice_0.T, cmap=\"gray\", origin=\"lower\", interpolation=\"none\")\n", + "ax1.imshow(np.flipud(slice_01.T), cmap=\"gray\", origin=\"lower\", interpolation=\"none\", alpha=0.3)\n", + "\n", + "ax2.imshow(slice_1.T, cmap=\"gray\", origin=\"lower\", interpolation=\"none\")\n", + "ax2.imshow(np.fliplr(np.flipud(slice_11.T)), cmap=\"gray\", origin=\"lower\", interpolation=\"none\", alpha=0.3)\n", + "\n", + "ax3.imshow(slice_2.T, cmap=\"gray\", origin=\"lower\", interpolation=\"none\")\n", + "ax3.imshow(np.fliplr(slice_21.T), cmap=\"gray\", origin=\"lower\", interpolation=\"none\", alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.suptitle(mask_post_basename + \" on \" + postonpre_t1_basename)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Second Coregistration Post -> Freesurfer Pre" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Using Applyxfm" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(256, 160, 189)" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# re-orient to RAS coordinates\n", + "ras_app_postonpre_t1 = nb.as_closest_canonical(app_postonpre_t1)\n", + "\n", + "# load and check dimensions\n", + "ras_app_postonpre_t1_data = ras_app_postonpre_t1.get_fdata()\n", + "#ras_app_postonpre_t1_data_squeezed = np.squeeze(ras_app_postonpre_t1_data, axis = 3)\n", + "ras_app_postonpre_t1_data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'sub-la02_ses-postonpre_proc-applyxfm_T1w.nii.gz')" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# visualize slices with ablation (sagittal, coronal, axial)\n", + "slice_0 = ras_app_postonpre_t1_data[112, :, :]\n", + "slice_1 = ras_app_postonpre_t1_data[:, 119, :]\n", + "slice_2 = ras_app_postonpre_t1_data[:, :, 116]\n", + "show_slices([slice_0, slice_1, slice_2])\n", + "plt.tight_layout()\n", + "plt.suptitle(app_postonpre_t1_basename)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Using Talairach.xfm" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(256, 160, 189)" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# re-orient to RAS coordinates\n", + "ras_tal_postonpre_t1 = nb.as_closest_canonical(tal_postonpre_t1)\n", + "\n", + "# load and check dimensions\n", + "ras_tal_postonpre_t1_data = ras_tal_postonpre_t1.get_fdata()\n", + "ras_tal_postonpre_t1_data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'sub-la02_ses-postsurgery_proc-secpostonpre_T1w.nii.gz')" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# visualize slices with ablation (sagittal, coronal, axial)\n", + "slice_0 = ras_tal_postonpre_t1_data[111, :, :]\n", + "slice_1 = ras_tal_postonpre_t1_data[:, 119, :]\n", + "slice_2 = ras_tal_postonpre_t1_data[:, :, 116]\n", + "show_slices([slice_0, slice_1, slice_2])\n", + "plt.tight_layout()\n", + "plt.suptitle(tal_postonpre_t1_basename)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Using mri_vol2vol" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(151, 186, 151)" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# load second coregistered image\n", + "vol_postonpre_t1_basename = make_bids_basename(subject=subject, session='postsurgery', processing='postonpre', suffix='f-in-tal-1mm.nii')\n", + "vol_postonpre_t1_fpath = bids_root / f'sub-{subject}' / 'visualization' / vol_postonpre_t1_basename\n", + "vol_postonpre_t1 = nb.load(vol_postonpre_t1_fpath)\n", + "\n", + "# re-orient to RAS coordinates\n", + "ras_vol_postonpre_t1 = nb.as_closest_canonical(vol_postonpre_t1)\n", + "\n", + "# load and check dimensions \n", + "ras_vol_postonpre_t1_data = ras_vol_postonpre_t1.get_fdata()\n", + "ras_vol_postonpre_t1_data.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Seg3D mask mapped to Freesurfer Pre" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "# load xfm transformation file\n", + "postonpre_mat = bids_root / 'la02' / 'postsurgerymri' / 'sub-la02_from-presurgeryT1w_to-postsurgeryT1w_mode-image_xfm.mat'" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(0,)\n" + ] + } + ], + "source": [ + "# transform postmri mask to freesurfer space\n", + "posttopre_data = transform([256, 160, 189], mask_post_data, ras_acpc_pret1_data, postonpre_mat)\n", + "print(posttopre_data.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Validation\n", + "\n", + "To confirm, let us use 'la03' as a second example." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load Data\n", + "\n", + "Load the data from step 0-5. " + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "# set subject and root path\n", + "subject = 'la03'\n", + "bids_root = Path(\"C:\\\\Users\\\\d0156\\\\Johns Hopkins\\\\Adam Li - epilepsy_bids\")\n", + "\n", + "### DEFINE FILE PATHS\n", + "# original T1 MRI nifti files\n", + "pret1_basename = make_bids_basename(subject=subject, session='presurgery', suffix='T1w.nii')\n", + "pret1_fpath = bids_root / f'sub-{subject}' / 'ses-presurgery' / 'anat' / pret1_basename\n", + "\n", + "postt1_basename = make_bids_basename(subject=subject, session='postsurgery', suffix='T1w.nii')\n", + "postt1_fpath = bids_root / f'sub-{subject}' / 'ses-postsurgery' / 'anat' / postt1_basename\n", + "\n", + "# after running robust fov on both of them\n", + "#robustfov_pret1_basename = make_bids_basename(subject=subject, session='presurgery', processing='robustfov', suffix='T1w.nii')\n", + "#robustfov_pret1_fpath = bids_root / f'sub-{subject}' / 'ses-presurgery' / 'anat' / robustfov_pret1_basename\n", + "\n", + "#robustfov_postt1_basename = make_bids_basename(subject=subject, session='postsurgery', processing='inT1', space='RAS', suffix='T1w.nii.gz')\n", + "#robustfov_postt1_fpath = bids_root / f'sub-{subject}' / 'ses-postsurgery' / 'anat' / robustfov_postt1_basename\n", + "\n", + "# after running acpcdetect on both of them\n", + "#acpc_pret1_basename = make_bids_basename(subject=subject, session='presurgery', space='RAS', suffix='T1w.nii')\n", + "#acpc_pret1_fpath = bids_root / f'sub-{subject}' / 'ses-presurgery' / 'anat' / acpc_pret1_basename\n", + "\n", + "acpc_postt1_basename = make_bids_basename(subject=subject, session='postsurgery', space='RAS', suffix='T1w.nii.gz')\n", + "acpc_postt1_fpath = bids_root / f'sub-{subject}' / 'ses-postsurgery' / 'anat' / acpc_postt1_basename\n", + "\n", + "# after coregistration post on pre\n", + "#postonpre_t1_basename = make_bids_basename(subject=subject, session='postonpre', suffix='T1w.nii.gz')\n", + "#postonpre_t1_fpath = bids_root / f'sub-{subject}' / 'coregistration' / postonpre_t1_basename\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "# use nibabel and load\n", + "postt1 = nb.load(postt1_fpath)\n", + "pret1 = nb.load(pret1_fpath)\n", + "\n", + "#robustfov_pret1 = nb.load(robustfov_pret1_fpath)\n", + "#robustfov_postt1 = nb.load(robustfov_postt1_fpath)\n", + "\n", + "#acpc_pret1 = nb.load(acpc_pret1_fpath)\n", + "acpc_postt1 = nb.load(acpc_postt1_fpath)\n", + "\n", + "#postonpre_t1 = nb.load(postonpre_t1_fpath)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Visualization and Basic Analysis" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## RobustFOV - PreT1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## RobustFOV - PostT1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ACPC Detect - PreT1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ACPC Detect - PostT1" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(256, 160, 189)" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# re-orient to RAS coordinates\n", + "ras_acpc_postt1 = nb.as_closest_canonical(acpc_postt1)\n", + "\n", + "# load and check dimensions\n", + "ras_acpc_postt1_data = ras_acpc_postt1.get_fdata()\n", + "ras_acpc_postt1_data_squeezed.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'sub-la03_ses-postsurgery_space-RAS_T1w.nii.gz')" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# visualize center slices (sagittal, coronal, axial)\n", + "slice_0 = ras_acpc_postt1_data_squeezed[128, :, :]\n", + "slice_1 = ras_acpc_postt1_data_squeezed[:, 80, :]\n", + "slice_2 = ras_acpc_postt1_data_squeezed[:, :, 94]\n", + "show_slices([slice_0, slice_1, slice_2])\n", + "plt.tight_layout()\n", + "plt.suptitle(acpc_postt1_basename)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## First Coregistration PostT1 -> PreT1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Seg3D Mask of PostT1 Segmentation" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## PostT1 and Seg3D Mask" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + }, + "toc-autonumbering": true + }, + "nbformat": 4, + "nbformat_minor": 4 +}