Difference between revisions of "Medical Imaging Example Meshes"

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(Ircad2-Removed-Tissues)
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=Ircad2-Removed-Tissues=  
 
=Ircad2-Removed-Tissues=  
* Input image : Dimensions (255x255x229) with spacing (0.976562x0.976562x1.40002)
+
* Input image : Dimensions (512x512x219) with spacing (0.976562x0.976562x1.40002)
* Uniform case: 205,416 tetrahedra
+
* Uniform with Delta = 4.92032 (Default) case: 16,685,902 tetrahedra
* Graded case: 770,853 tetrahedra
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* Graded with Delta = 4.92032 (Default) case: 14,462,494 tetrahedra
  
[[File:Head-Neck,d=2.49023.png|500px|Head-Neck,d=2.49023.png]]
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[[File:Ircad2-Removed-Tissues,d=4.92032.png|500px|Ircad2-Removed-Tissues,d=4.92032.png]]
 +
[[File:Ircad2-Removed-Tissues,d=4.92032,graded.png|500px|Ircad2-Removed-Tissues,d=4.92032,graded.png]]
 
<gallery mode="packed" heights=350px>
 
<gallery mode="packed" heights=350px>
File:Ircad2-Removed-Tissues,d=5.png
 
 
</gallery>
 
</gallery>
  
 
Commands to generate meshes :
 
Commands to generate meshes :
  
'''Delta = 2.49023 :''' [ Output Mesh]
+
'''Uniform :''' [ Output Mesh]
 
<pre>
 
<pre>
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Head-Neck.mha --output ./Head-Neck,d=2.49023.vtk
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docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Ircad2-Removed-Tissues.nrrd --output ./Ircad2-Removed-Tissues,d=4.92032.vtk
 
</pre>
 
</pre>
  
'''Delta = 1.5 :''' [ Output Mesh]
+
'''Graded  :''' [ Output Mesh]
 
<pre>
 
<pre>
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
+
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
 
</pre>
 
</pre>

Revision as of 17:45, 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 : 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