Difference between revisions of "Medical Imaging Example Meshes"
From crtc.cs.odu.edu
Spyridon97 (talk | contribs) (→Head-Neck) |
Spyridon97 (talk | contribs) (→Ircad2) |
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Commands to generate meshes : | Commands to generate meshes : | ||
| − | '''Uniform :''' [https://odu.box.com/s/nfqgcr1j1j6wdnydb9sug8652y9falvc Output Mesh] | + | '''Uniform with Delta = 2 :''' [https://odu.box.com/s/nfqgcr1j1j6wdnydb9sug8652y9falvc Output Mesh] |
<pre> | <pre> | ||
docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/3D/Ircad2.nrrd --delta 2 --output ./Ircad2,d=2.vtk | docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/3D/Ircad2.nrrd --delta 2 --output ./Ircad2,d=2.vtk | ||
</pre> | </pre> | ||
| − | '''Graded | + | '''Graded with Delta = 1 :''' [https://odu.box.com/s/ofnxslfgijzbqbwqqlvcetm783kqv9uo Output Mesh] |
<pre> | <pre> | ||
docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/3D/Ircad2.nrrd --delta 1 --volume-grading --output ./Ircad2,d=1,graded.vtk | docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/3D/Ircad2.nrrd --delta 1 --volume-grading --output ./Ircad2,d=1,graded.vtk | ||
</pre> | </pre> | ||
Revision as of 15:48, 2 March 2020
The directory containing the input data is located in the 3D folder of Medical_Imaging_Data.
Head-Neck
- Input image : Dimensions (255x255x229) with spacing (0.976562x0.976562x1.40002)
- Uniform with Delta = default case: 205,416 tetrahedra
- Uniform with Delta = 1.5 case: 770,853 tetrahedra
Commands to generate meshes :
Uniform with Delta = default : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/3D/Head-Neck.mha --output ./Head-Neck,d=2.49023.vtk
Uniform with Delta = 1.5 : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/3D/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 = default case: 222,540 tetrahedra
- Graded with Delta = default case: 94,383 tetrahedra
Commands to generate meshes :
Uniform : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/3D/Brain-With-Tumor-Case17.nii --output ./Brain-With-Tumor-Case17,d=1.76001.vtk
Graded : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/3D/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 = default case: 386,869 tetrahedra
- Graded with Delta = default case: 274,309 tetrahedra
Commands to generate meshes :
Uniform : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/3D/Head-Neck.mha --output ./Knee-Char,d=1.19.vtk
Graded : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/3D/Head-Neck.mha --volume-grading --output ./Knee-Char,d=1.19,graded.vtk
Ircad2
- Input image : Dimensions (512x512x219) with spacing (0.976562x0.976562x1.40002)
- Uniform with Delta = 2 case: 5,031,442 tetrahedra
- Graded with Delta = 1 case: 6,072,751 tetrahedra
Commands to generate meshes :
Uniform with Delta = 2 : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/3D/Ircad2.nrrd --delta 2 --output ./Ircad2,d=2.vtk
Graded with Delta = 1 : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/3D/Ircad2.nrrd --delta 1 --volume-grading --output ./Ircad2,d=1,graded.vtk
