Difference between revisions of "Medical Imaging Example Meshes"
Spyridon97 (talk | contribs) (→COVID-19-23354) |
Spyridon97 (talk | contribs) (→2D Example Meshes) |
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==COVID-19-23354== | ==COVID-19-23354== | ||
− | * Input image : Dimensions ( | + | * Input image : Dimensions (3,000x2,000) with spacing (1x1) |
* Uniform with Min-Edge = 15: 82,981 triangles | * Uniform with Min-Edge = 15: 82,981 triangles | ||
* Adaptive with Min-Edge = 15: 67,920 triangles | * Adaptive with Min-Edge = 15: 67,920 triangles | ||
Line 34: | Line 34: | ||
==COVID-19-23311== | ==COVID-19-23311== | ||
− | * Input image : Dimensions ( | + | * Input image : Dimensions (2,460x2,460) with spacing (1x1) |
− | * Uniform with | + | * Uniform with Min-Edge = 15: 47,028 triangles |
− | * | + | * Adaptive with Min-Edge = 15: 34,080 tetrahedra |
− | <gallery mode="packed" heights= | + | [[File:COVID-19-23311,uniform,e=20,suface.png|500px|File:COVID-19-23311,uniform,e=20,suface.png]] |
− | File: | + | [[File:COVID-19-23311,uniform,e=20,triangulation.png|500px|File:COVID-19-23311,uniform,e=20,triangulation.png]] |
− | File: | + | [[File:COVID-19-23311,uniform,e=20,triangulation,zoom.png|500px|File:COVID-19-23311,uniform,e=20,triangulation,zoom.png]] |
+ | [[File:COVID-19-23311,w=0.1,e=20,suface.png|500px|File:COVID-19-23311,w=0.1,e=20,suface.png]] | ||
+ | [[File:COVID-19-23311,w=0.1,e=20,triangulation.png|500px|File:COVID-19-23311,w=0.1,e=20,triangulation.png]] | ||
+ | [[File:COVID-19-23311,w=0.1,e=20,triangulation,zoom.png|500px|File:COVID-19-23311,w=0.1,e=20,triangulation,zoom.png]] | ||
+ | <gallery mode="packed" heights=250px> | ||
+ | File:COVID-19-23311,uniform,e=20,suface.png | ||
+ | File:COVID-19-23311,uniform,e=20,triangulation.png | ||
+ | File:COVID-19-23311,uniform,e=20,triangulation,zoom.png | ||
</gallery> | </gallery> | ||
− | <gallery mode="packed" heights= | + | <gallery mode="packed" heights=250px> |
− | File: | + | File:COVID-19-23311,w=0.1,e=20,suface.png |
− | File: | + | File:COVID-19-23311,w=0.1,e=20,triangulation.png |
+ | File:COVID-19-23311,w=0.1,e=20,triangulation,zoom.png | ||
</gallery> | </gallery> | ||
Commands to generate meshes : | Commands to generate meshes : | ||
− | '''Uniform with | + | '''Uniform with Min-Edge = 20 :''' [https://odu.box.com/s/dkv6271ky0cxvk4lio2bvw6jv9zw5iaf Output Mesh] |
<pre> | <pre> | ||
− | docker run -v $(pwd):/data/ crtc_i2m | + | docker run -v $(pwd):/data/ crtc_i2m tessellate2d --input ./Medical_Imaging_Data/2D/COVID-19-23311.tif --uniform --min-edge 20 --output ./COVID-19-23311,uniform,e=20.vtk |
</pre> | </pre> | ||
− | ''' | + | '''Adaptive with Min-Edge = 20 :''' [https://odu.box.com/s/jeqmz2c8dsssl8zujkywl2v3bjaby8gc Output Mesh] |
<pre> | <pre> | ||
− | docker run -v $(pwd):/data/ crtc_i2m | + | docker run -v $(pwd):/data/ crtc_i2m tessellate2d --input ./Medical_Imaging_Data/2D/COVID-19-23311.tif --min-edge 20 --output ./COVID-19-23311,w=0.1,e=20.vtk |
</pre> | </pre> | ||
Revision as of 16:17, 14 March 2020
Contents
2D Example Meshes
The directory containing the 2D input data is located in the 2D folder of Medical_Imaging_Data.
The image data were acquired from Centers for Disease Control and Prevention
COVID-19-23354
- Input image : Dimensions (3,000x2,000) with spacing (1x1)
- Uniform with Min-Edge = 15: 82,981 triangles
- Adaptive with Min-Edge = 15: 67,920 triangles
Commands to generate meshes :
Uniform with Min-Edge = 15 : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m tessellate2d --input ./Medical_Imaging_Data/2D/COVID-19-23354.tif --uniform --min-edge 15 --output ./COVID-19-23354,uniform,e=15.vtk
Adaptive with Min-Edge = 15 : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m tessellate2d --input ./Medical_Imaging_Data/2D/COVID-19-23354.tif --min-edge 15 --output ./COVID-19-23354,w=0.1,e=15.vtk
COVID-19-23311
- Input image : Dimensions (2,460x2,460) with spacing (1x1)
- Uniform with Min-Edge = 15: 47,028 triangles
- Adaptive with Min-Edge = 15: 34,080 tetrahedra
Commands to generate meshes :
Uniform with Min-Edge = 20 : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m tessellate2d --input ./Medical_Imaging_Data/2D/COVID-19-23311.tif --uniform --min-edge 20 --output ./COVID-19-23311,uniform,e=20.vtk
Adaptive with Min-Edge = 20 : Output Mesh
docker run -v $(pwd):/data/ crtc_i2m tessellate2d --input ./Medical_Imaging_Data/2D/COVID-19-23311.tif --min-edge 20 --output ./COVID-19-23311,w=0.1,e=20.vtk
3D Example Meshes
The directory containing the 3D 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: 205,416 tetrahedra
- Uniform with Delta = 1.5: 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: 222,540 tetrahedra
- Graded with Delta = default: 94,383 tetrahedra
Commands to generate meshes :
Uniform with Delta = default : 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 with Delta = default : 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 with Delta = default : 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 with Delta = default : 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