Difference between revisions of "Documentation/Nightly/Modules/MeshCompression"

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** '''Labeled Image:''' The input labeled image.
 
** '''Labeled Image:''' The input labeled image.
 
** '''Output Mesh:''' The output tetrahedral mesh in vtk file format. (default: outputMesh.vtk)
 
** '''Output Mesh:''' The output tetrahedral mesh in vtk file format. (default: outputMesh.vtk)
|[[Image:BCCPanel.jpg|thumb|380px|User Interface]]
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|[[Image:MCPanel.jpg|thumb|380px|User Interface]]
 
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Revision as of 03:21, 20 June 2014

Home < Documentation < Nightly < Modules < MeshCompression


For the latest Slicer documentation, visit the read-the-docs.


Introduction and Acknowledgements

Extension: Image To Mesh Conversion
Acknowledgments:

  • This work was partially supported by NIH R44 OD018334-03A, grant CCF-1139864 and by the Richard T.Cheng Endowment.


Author:Fotis Drakopoulos
Contributors: Fotis Drakopoulos (CRTC), Yixun Liu (CRTC), Andrey Fedorov (CRTC), Nikos Chrisochoides (CRTC)
Contact: Nikos Chrisochoides, <email>npchris@gmail.com</email>
Website: http://crtc.wm.edu/html_output/index.htm
License: BSD

Center for Real-time Computing  


Module Description

The Mesh Compression (MC) module deforms the input tetrahedral mesh towards the boundaries of the input labeled image. Two point sets are extracted for the mesh deformation. The first (source point set) consists of the surface vertices in the input mesh. The second (target point set) consists of the surface edge points in the input labeled image. After the extraction of the two point sets, the input mesh is deformed by registering the source to the target point set using a Physics-Based Non-Rigid Registration method. The current version of the module supports a single-tissue labeled image and mesh.

Use Cases

Brain BCC mesh before MC
Brain BCC mesh after MC

Nidus BCC mesh before MC
Nidus BCC mesh after MC

Ventricles BCC mesh before MC
Ventricles BCC mesh after MC

Tutorials

N/A

Panels and their use

  • Mesh Generation Parameters:
    • Size: Controls the size of the mesh. The smaller the value the larger the mesh. Value should be between [1,20] (default: 8).
    • Fidelity: Controls the subdivision of the elements that belong to more than one image labels. The larger the value the better the conformity of the mesh on the image label boundaries. Value should be between [0.1,1] (default: 0.8).
    • Resample Resolution: Controls the image resampling. Suggested value is 0 (no-resampling) for large tissues and 1 or 2 for smaller tissues. Value should be 0 or 1 or 2 (default: 0).
  • Input/Output:
    • Labeled Image: The input labeled image.
    • Output Mesh: The output tetrahedral mesh in vtk file format. (default: outputMesh.vtk)
User Interface


Similar Modules

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References

  • Yixun Liu, Panagiotis Foteinos, Andrey Chernikov and Nikos Chrisochoides, "Mesh Deformation-based Multi-tissue Mesh Generation for Brain Images", Engineering with Computers, Volume 28, pages 305-318, 2012.

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