Medical Imaging Example Meshes
From crtc.cs.odu.edu
The directory containing the input data is Medical_Imaging_Data.
Head-Neck
- Input image : Dimensions (255x255x229) with spacing (0.976562x0.976562x1.40002)
- Delta = default value case: 205,416 tetrahedra
- Delta = 1.5 case: 770,853 tetrahedra
Commands to generate meshes :
Delta = default value : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Head-Neck.mha --output ./Head-Neck,d=2.49023.vtk
Delta = 1.5 : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Head-Neck.mha --delta 1.5 --output ./Head-Neck,d=1.5.vtk
Brain-With-Tumor-Case17
- Input image : Dimensions (448x512x176) with spacing (0.488281x0.488281x1)
- Uniform with Delta = 1.76001 (Default) case: 222,540 tetrahedra
- Graded with Delta = 1.76001 (Default) case: 94,383 tetrahedra
Commands to generate meshes :
Uniform : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Brain-With-Tumor-Case17.nii --output ./Brain-With-Tumor-Case17,d=1.76001.vtk
Graded : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Brain-With-Tumor-Case17.nii --volume-grading --output ./Brain-With-Tumor-Case17,d=1.76001,graded.vtk
Knee-Char
- Input image : Dimensions (512x512x119) with spacing (0.27734x0.27734x1)
- Uniform with Delta = 1.19 (Default) case: 386,869 tetrahedra
- Graded with Delta = 1.19 (Default) case: 274,309 tetrahedra
Commands to generate meshes :
Uniform : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Head-Neck.mha --output ./Knee-Char,d=1.19.vtk
Graded : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Head-Neck.mha --volume-grading --output ./Knee-Char,d=1.19,graded.vtk
Ircad2-Removed-Tissues
- Input image : Dimensions (512x512x219) with spacing (0.976562x0.976562x1.40002)
- Uniform with Delta = 4.92032 (Default) case: 16,685,902 tetrahedra
- Graded with Delta = 4.92032 (Default) case: 14,462,494 tetrahedra
Ircad2-Removed-Tissues,d=4.92032.png Ircad2-Removed-Tissues,d=4.92032,graded.png
Commands to generate meshes :
Uniform : [ Output Mesh]
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Ircad2-Removed-Tissues.nrrd --output ./Ircad2-Removed-Tissues,d=4.92032.vtk
Graded : [ Output Mesh]
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Ircad2-Removed-Tissues.nrrd --volume-grading --output ./Ircad2-Removed-Tissues,d=4.92032,graded.vtk