Difference between revisions of "Medical Imaging Example Meshes"

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(Brain-With-Tumor-Case17)
(Ircad2-Removed-Tissues)
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</pre>
 
</pre>
  
=Ircad2-Removed-Tissues=  
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=Ircad2=  
 
* Input image : Dimensions (512x512x219) with spacing (0.976562x0.976562x1.40002)
 
* Input image : Dimensions (512x512x219) with spacing (0.976562x0.976562x1.40002)
* Uniform with Delta = default value case: 16,685,902 tetrahedra
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* Uniform with Delta = 1 case: tetrahedra
* Graded with Delta = default value case: 14,462,494 tetrahedra
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* Graded with Delta = 1 case: 6,072,751 tetrahedra
  
[[File:Ircad2-Removed-Tissues,d=4.92032.png|500px|Ircad2-Removed-Tissues,d=4.92032.png]]
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[[File:Ircad2,d=1.png|500px|Ircad2,d=1.png]]
[[File:Ircad2-Removed-Tissues,d=4.92032,graded.png|500px|Ircad2-Removed-Tissues,d=4.92032,graded.png]]
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[[File:Ircad2,d=1,graded.png|500px|Ircad2,d=1,graded.png]]
 
<gallery mode="packed" heights=350px>
 
<gallery mode="packed" heights=350px>
 
</gallery>
 
</gallery>
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'''Uniform :''' [ Output Mesh]
 
'''Uniform :''' [ Output Mesh]
 
<pre>
 
<pre>
docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Ircad2-Removed-Tissues.nrrd --output ./Ircad2-Removed-Tissues,d=4.92032.vtk
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docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Ircad2.nrrd --delta 2 --output ./Ircad2,d=2.vtk
 
</pre>
 
</pre>
  
'''Graded  :''' [ Output Mesh]
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'''Graded  :''' [https://odu.box.com/s/ofnxslfgijzbqbwqqlvcetm783kqv9uo Output Mesh]
 
<pre>
 
<pre>
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
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docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Ircad2.nrrd --delta 1 --volume-grading --output ./Ircad2,d=1,graded.vtk
 
</pre>
 
</pre>

Revision as of 14:49, 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 value case: 205,416 tetrahedra
  • Delta = 1.5 case: 770,853 tetrahedra

Commands to generate meshes :

Delta = default value : 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 : Dimensions (448x512x176) with spacing (0.488281x0.488281x1)
  • Uniform with Delta = default value case: 222,540 tetrahedra
  • Graded with Delta = default value case: 94,383 tetrahedra

Commands to generate meshes :

Uniform : Output Mesh

docker run -v $(pwd):/data/ crtc_i2m podm3d --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 podm3d --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 value case: 386,869 tetrahedra
  • Graded with Delta = default value case: 274,309 tetrahedra

Commands to generate meshes :

Uniform : Output Mesh

docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Head-Neck.mha --output ./Knee-Char,d=1.19.vtk

Graded : Output Mesh

docker run -v $(pwd):/data/ crtc_i2m podm3d --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 = 1 case: tetrahedra
  • Graded with Delta = 1 case: 6,072,751 tetrahedra

Ircad2,d=1.png Ircad2,d=1,graded.png

Commands to generate meshes :

Uniform : [ Output Mesh]

docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Ircad2.nrrd --delta 2 --output ./Ircad2,d=2.vtk

Graded  : Output Mesh

docker run -v $(pwd):/data/ crtc_i2m podm3d --input ./Medical_Imaging_Data/Ircad2.nrrd --delta 1 --volume-grading --output ./Ircad2,d=1,graded.vtk