Difference between revisions of "Medical Imaging Example Meshes"
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'''Delta = default :''' [https://odu.box.com/s/adx5yrnxrqia908vzcotqpkpl3dpvttv Output Mesh] | '''Delta = default :''' [https://odu.box.com/s/adx5yrnxrqia908vzcotqpkpl3dpvttv Output Mesh] | ||
<pre> | <pre> | ||
− | docker run -v $(pwd):/data/ crtc_i2m | + | docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/Head-Neck.mha --output ./Head-Neck,d=2.49023.vtk |
</pre> | </pre> | ||
'''Delta = 1.5 :''' [https://odu.box.com/s/pv0ss8s08oucmsfcbaifyx89isgwb041 Output Mesh] | '''Delta = 1.5 :''' [https://odu.box.com/s/pv0ss8s08oucmsfcbaifyx89isgwb041 Output Mesh] | ||
<pre> | <pre> | ||
− | docker run -v $(pwd):/data/ crtc_i2m | + | docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/Head-Neck.mha --delta 1.5 --output ./Head-Neck,d=1.5.vtk |
</pre> | </pre> | ||
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'''Uniform :''' [https://odu.box.com/s/5dqgw5pykve4xv2ii30xnkjq5s3maxdl Output Mesh] | '''Uniform :''' [https://odu.box.com/s/5dqgw5pykve4xv2ii30xnkjq5s3maxdl Output Mesh] | ||
<pre> | <pre> | ||
− | docker run -v $(pwd):/data/ crtc_i2m | + | docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/Brain-With-Tumor-Case17.nii --output ./Brain-With-Tumor-Case17,d=1.76001.vtk |
</pre> | </pre> | ||
'''Graded :''' [https://odu.box.com/s/8zlfyepfuzmd8g119eup5n2srxpbqg8s Output Mesh] | '''Graded :''' [https://odu.box.com/s/8zlfyepfuzmd8g119eup5n2srxpbqg8s Output Mesh] | ||
<pre> | <pre> | ||
− | docker run -v $(pwd):/data/ crtc_i2m | + | docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/Brain-With-Tumor-Case17.nii --volume-grading --output ./Brain-With-Tumor-Case17,d=1.76001,graded.vtk |
</pre> | </pre> | ||
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'''Uniform :''' [https://odu.box.com/s/q42ekuymr0gy0w882ilcngjfg8l95xvx Output Mesh] | '''Uniform :''' [https://odu.box.com/s/q42ekuymr0gy0w882ilcngjfg8l95xvx Output Mesh] | ||
<pre> | <pre> | ||
− | docker run -v $(pwd):/data/ crtc_i2m | + | docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/Head-Neck.mha --output ./Knee-Char,d=1.19.vtk |
</pre> | </pre> | ||
'''Graded :''' [https://odu.box.com/s/i788xycxrd11wpxneo4wq3x0ekk9yemm Output Mesh] | '''Graded :''' [https://odu.box.com/s/i788xycxrd11wpxneo4wq3x0ekk9yemm Output Mesh] | ||
<pre> | <pre> | ||
− | docker run -v $(pwd):/data/ crtc_i2m | + | docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/Head-Neck.mha --volume-grading --output ./Knee-Char,d=1.19,graded.vtk |
</pre> | </pre> | ||
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'''Uniform :''' [https://odu.box.com/s/nfqgcr1j1j6wdnydb9sug8652y9falvc Output Mesh] | '''Uniform :''' [https://odu.box.com/s/nfqgcr1j1j6wdnydb9sug8652y9falvc Output Mesh] | ||
<pre> | <pre> | ||
− | docker run -v $(pwd):/data/ crtc_i2m | + | docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/Ircad2.nrrd --delta 2 --output ./Ircad2,d=2.vtk |
</pre> | </pre> | ||
'''Graded :''' [https://odu.box.com/s/ofnxslfgijzbqbwqqlvcetm783kqv9uo Output Mesh] | '''Graded :''' [https://odu.box.com/s/ofnxslfgijzbqbwqqlvcetm783kqv9uo Output Mesh] | ||
<pre> | <pre> | ||
− | docker run -v $(pwd):/data/ crtc_i2m | + | docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/Ircad2.nrrd --delta 1 --volume-grading --output ./Ircad2,d=1,graded.vtk |
</pre> | </pre> |
Revision as of 15:22, 2 March 2020
The directory containing the input data is Medical_Imaging_Data.
Head-Neck
- Input image : Dimensions (255x255x229) with spacing (0.976562x0.976562x1.40002)
- Delta = default case: 205,416 tetrahedra
- Delta = 1.5 case: 770,853 tetrahedra
Commands to generate meshes :
Delta = default : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m tessellate3d --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 tessellate3d --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 = 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/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/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/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/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 : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/Ircad2.nrrd --delta 2 --output ./Ircad2,d=2.vtk
Graded : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m tessellate3d --input ./Medical_Imaging_Data/Ircad2.nrrd --delta 1 --volume-grading --output ./Ircad2,d=1,graded.vtk