Difference between revisions of "Image-to-Mesh Conversion"

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[[File:Smoothed stent.png|400px]]
 
[[File:Smoothed stent.png|400px]]
 
[[File:WarpedBCC2.png|400px]]
 
[[File:WarpedBCC2.png|400px]]
[http://cs.odu.edu/crtc/Public_Data/CBC3D/low_density_LVIS_stent_1/LVIS_lumen_surface.vtk Download ]
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[http://cs.odu.edu/crtc/Public_Data/CBC3D/low_density_LVIS_stent_1.tar Download ]
  
  
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[[File:MeshA crop 3.png|500px]]
 
[[File:MeshA crop 3.png|500px]]
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[http://cs.odu.edu/crtc/Public_Data/CBC3D/low_density_Enterprise_stent_3.tar Download ]
  
  
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[[File:SmoothedStent 5.png|400px]]
 
[[File:SmoothedStent 5.png|400px]]
 
[[File:WarpedBCC2 5.png|400px]]
 
[[File:WarpedBCC2 5.png|400px]]
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[http://cs.odu.edu/crtc/Public_Data/CBC3D/high_density_pipeline_stent_5.tar Download ]

Latest revision as of 09:00, 4 April 2018

CBC3D is a framework that directly converts segmented multi-labeled image data into adaptive multi-tissue tetrahedral or mixed element meshes that conform to the physical image boundaries.


- The generated meshes of the Lumen-LVIS stent:

WarpedBCC.png Smoothed stent.png WarpedBCC2.png Download


- The generated meshes of the low density Enterprise stent:

MeshA crop 3.png Download


- The generated meshes of the high density pipeline stent:

BCC1 5.png BCC2 5.png BCC3 5.png SmoothedStent 5.png WarpedBCC2 5.png Download