119 lines (118 with data), 2.7 kB
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pytest\n",
"import SimpleITK as sitk\n",
"\n",
"import pymskt as mskt\n",
"from pymskt.utils import testing\n",
"\n",
"SEG_IMAGE_PATH = \"../../data/right_knee_example.nrrd\"\n",
"SEG_IMAGE = sitk.ReadImage(SEG_IMAGE_PATH)\n",
"MESH_FEMUR_CROPPED = mskt.mesh.io.read_vtk(\"../../data/femur_cropped_cartilage_thick_roi_full_pts.vtk\")\n",
"MESH_TIBIA_CROPPED = mskt.mesh.io.read_vtk(\"../../data/tibia_smoothed_image_cropped.vtk\")\n",
"\n",
"from pymskt import ATOL, RTOL"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"seg_image=SEG_IMAGE\n",
"ref_mesh=MESH_FEMUR_CROPPED\n",
"label_idx=5\n",
"crop_percent=0.7\n",
"bone=\"femur\""
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"seg_array = sitk.GetArrayFromImage(seg_image)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"np.int64(2332148)"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.sum(seg_array == label_idx)\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"WARNING: Mesh is now synonymous with pyvista.PolyData and thus this property is redundant and the Mesh object can be used for anything that pyvista.PolyData or vtk.vtkPolyData can be used for.\n"
]
}
],
"source": [
"mesh = mskt.mesh.BoneMesh(seg_image=seg_image, label_idx=label_idx, bone=bone)\n",
"mesh.create_mesh(\n",
" smooth_image=True,\n",
" crop_percent=crop_percent,\n",
")\n",
"\n",
"testing.assert_mesh_coordinates_same(ref_mesh, mesh.mesh, rtol=RTOL, atol=ATOL)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "pymskt_3_9",
"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": "3.9.21"
}
},
"nbformat": 4,
"nbformat_minor": 2
}