Difference between revisions of "Medical Imaging Example Meshes"

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The directory containing the input data is [https://odu.box.com/s/wd0i18giti2zo330y19xhkqu8wjzgf7j Medical_Imaging_Data].
 
The directory containing the input data is [https://odu.box.com/s/wd0i18giti2zo330y19xhkqu8wjzgf7j Medical_Imaging_Data].
  
=Head-Neck 2 =  
+
=Head-Neck=
* Input distribution size : 1,000,000 cells
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* Input image : Dimensions (255x255x229) with spacing (0.976562x0.976562x1.40002)
* Uniform case: 768,033 tetrahedra
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* Delta = 2.49023 (Default calculated value) case: 205,416 tetrahedra
* Adapted case: 264,762 tetrahedra
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* Delta = 1.5 case: 770,853 tetrahedra
  
 +
[[File:Head-Neck,d=2.49023.png|500px|Head-Neck,d=2.49023.png]]
 
<gallery mode="packed" heights=350px>
 
<gallery mode="packed" heights=350px>
File:GPDMMS13_140519,d=1,uniform.png
+
File:Head-Neck,d=1.5.png
File:GPDMMS13_140519,d=5,wl=0.05,me=1.png
 
 
</gallery>
 
</gallery>
  
 
Commands to generate meshes :
 
Commands to generate meshes :
  
'''Uniform :''' [https://odu.box.com/s/h48toji5cii2rk6xkmofptnw4nntt8zk Output Mesh]
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'''Delta = 2.49023 :''' [ Output Mesh]
 
<pre>
 
<pre>
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_Data/3D/CFF_14052019/GPDMMS13_140519.nrrd --image-segmentation --linear-interpolation --output ./GPDMMS13_140519,d=1,uniform.vtk
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docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Head-Neck.mha --output ./Head-Neck,d=2.49023.vtk
 
</pre>
 
</pre>
  
'''Adapted :''' [https://odu.box.com/s/bcg7aw4lv9rvp4531va7pqg7j2os7tny Output Mesh]
+
'''Delta = 1.5 :''' [ Output Mesh]
 
<pre>
 
<pre>
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./CNF_Data/3D/CFF_14052019/GPDMMS13_140519.nrrd --cnf --weight-limit 0.05 --min-edge 1 --output ./GPDMMS13_140519,d=5,wl=0.05,me=1.vtk
+
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
 
</pre>
 
</pre>
 
=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
 
 
Generated mesh with delta = 2, [https://odu.box.com/s/7kgv263qvebk55077nny4l2n7ienpahf Output Mesh]
 
<pre>docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Head-Neck.mha --output ./Head-Neck,d=2.49023.vtk</pre>
 
 
[[File:Head-Neck,d=2.png|500px|Head-Neck,d=2.png]]
 
 
Generated mesh with delta = 1.5, [https://odu.box.com/s/sfjb83whac8rhn1ykuuxmektprxtci78 Output Mesh]
 
<pre>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</pre>
 
 
[[File:Head-Neck,d=1.5.png|500px|Head-Neck,d=1.5.png]]
 
  
 
=Brain-With-Tumor-Case17=
 
=Brain-With-Tumor-Case17=

Revision as of 17:17, 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

Head-Neck,d=2.49023.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

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

Brain-With-Tumor-Case17,d=1.5.png

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

Brain-With-Tumor-Case17,d=1.5,grading.png

Knee-Char

Input Image

Generated mesh with delta = 1,5, Output Mesh

docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Knee-Char.mha --delta 1.5 --output ./Knee-Char,d=1.5.vtk

Knee-Char,d=1.5.png

Generated mesh with delta = 1.5 and volume-grading, Output Mesh

docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Knee-Char.mha --delta 1.5 --volume-grading --output ./Knee-Char,d=1.5,grading.vtk

Knee-Char,d=1.5,grading.png

Ircad2-Removed-Tissues

Input Image

Generated mesh with delta = 5, Output Mesh

docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Ircad2-Removed-Tissues.nrrd --delta 5 --output ./Ircad2-Removed-Tissues,d=5.vtk

Ircad2-Removed-Tissues,d=5.png