Difference between revisions of "Medical Imaging Example Meshes"
From crtc.cs.odu.edu
Spyridon97 (talk | contribs) (→Ircad2-Removed-Tissues) |
Spyridon97 (talk | contribs) (→Knee-Char) |
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=Knee-Char= | =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 | ||
| − | + | [[File:Knee-Char,d=1.19.png|500px|Knee-Char,d=1.19.png]] | |
| − | + | [[File:Knee-Char,d=1.19,graded.png|500px|Knee-Char,d=1.19,graded.png]] | |
| + | <gallery mode="packed" heights=350px> | ||
| + | </gallery> | ||
| − | + | Commands to generate meshes : | |
| − | + | '''Uniform :''' [ Output Mesh] | |
| − | <pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/ | + | <pre> |
| + | docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Head-Neck.mha --output ./Knee-Char,d=1.19.vtk | ||
| + | </pre> | ||
| − | [ | + | '''Graded :''' [ Output Mesh] |
| + | <pre> | ||
| + | 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 | ||
| + | </pre> | ||
=Ircad2-Removed-Tissues= | =Ircad2-Removed-Tissues= | ||
Revision as of 17:54, 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
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
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 : 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
