Medical Imaging Example Meshes

The directory containing the input data is Medical_Imaging_Data.

Head-Neck

• Input image : Dimensions (255x255x229) with spacing (0.976562x0.976562x1.40002)
• Delta = 2.49023 (Default calculated value) case: 205,416 tetrahedra
• Delta = 1.5 case: 770,853 tetrahedra

• 

Commands to generate meshes :

Delta = 2.49023 : [ 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

Generated mesh with delta = 1,5, Output Mesh

docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Brain-With-Tumor-Case17.nii --delta 1.5 --output ./Brain-With-Tumor-Case17,d=1.5.vtk

Generated mesh with delta = 1.5 and volume-grading, Output Mesh

docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Brain-With-Tumor-Case17.nii --delta 1.5 --volume-grading --output ./Brain-With-Tumor-Case17,d=1.5,grading.vtk

Knee-Char

Input Image

Generated mesh with delta = 1,5, Output Mesh

docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Knee-Char.mha --delta 1.5 --output ./Knee-Char,d=1.5.vtk

Generated mesh with delta = 1.5 and volume-grading, Output Mesh

docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Knee-Char.mha --delta 1.5 --volume-grading --output ./Knee-Char,d=1.5,grading.vtk

Ircad2-Removed-Tissues

Input Image

Generated mesh with delta = 5, Output Mesh

docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Ircad2-Removed-Tissues.nrrd --delta 5 --output ./Ircad2-Removed-Tissues,d=5.vtk