Medical Imaging Example Meshes

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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

Head-Neck,d=2.49023.png

  • Head-Neck,d=1.5.png

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

Brain-With-Tumor-Case17,d=1.5.png

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

Brain-With-Tumor-Case17,d=1.5,grading.png

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

Knee-Char,d=1.5.png

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

Knee-Char,d=1.5,grading.png

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
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