Difference between revisions of "Medical Imaging Example Meshes"
From crtc.cs.odu.edu
Spyridon97 (talk | contribs) (→Head-Neck) |
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[[File:Head-Neck,d=2.49023.png|500px|Head-Neck,d=2.49023.png]] | [[File:Head-Neck,d=2.49023.png|500px|Head-Neck,d=2.49023.png]] | ||
| + | [[File:Head-Neck,d=2.49023,zoom.png|500px|Head-Neck,d=2.49023,zoom.png]] | ||
| + | [[File:Head-Neck,d=1.5.png|500px|Head-Neck,d=1.5.png]] | ||
| + | [[File:Head-Neck,d=1.5,zoom.png|500px|Head-Neck,d=1.5,zoom.png] | ||
| + | <gallery mode="packed" heights=350px> | ||
| + | </gallery> | ||
<gallery mode="packed" heights=350px> | <gallery mode="packed" heights=350px> | ||
| − | |||
</gallery> | </gallery> | ||
Revision as of 19:08, 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) case: 205,416 tetrahedra
- Delta = 1.5 case: 770,853 tetrahedra
[[File:Head-Neck,d=1.5,zoom.png|500px|Head-Neck,d=1.5,zoom.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
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
