Difference between revisions of "Medical Imaging Example Meshes"

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Revision as of 18:29, 26 February 2020

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 : 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

Brain-With-Tumor-Case17,d=1.76001.png Brain-With-Tumor-Case17,d=1.76001,zoom.png Brain-With-Tumor-Case17,d=1.76001,graded.png Brain-With-Tumor-Case17,d=1.76001,graded,zoom.png

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

Knee-Char,d=1.19.png Knee-Char,d=1.19,graded.png

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
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