Difference between revisions of "Documentation/Nightly/Modules/MeshCompression"
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*This work was partially supported by NIH R44 OD018334-03A, grant CCF-1139864 and by the Richard T.Cheng Endowment. | *This work was partially supported by NIH R44 OD018334-03A, grant CCF-1139864 and by the Richard T.Cheng Endowment. | ||
− | Author:Fotis Drakopoulos<br> | + | Author: Fotis Drakopoulos<br> |
Contributors: Fotis Drakopoulos (CRTC), Yixun Liu (CRTC), Andrey Fedorov (CRTC), Nikos Chrisochoides (CRTC)<br> | Contributors: Fotis Drakopoulos (CRTC), Yixun Liu (CRTC), Andrey Fedorov (CRTC), Nikos Chrisochoides (CRTC)<br> | ||
Contact: Nikos Chrisochoides, <email>npchris@gmail.com</email><br> | Contact: Nikos Chrisochoides, <email>npchris@gmail.com</email><br> |
Revision as of 04:05, 20 June 2014
Home < Documentation < Nightly < Modules < MeshCompression
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Introduction and Acknowledgements
Extension: Image To Mesh Conversion
Author: Fotis Drakopoulos | |||
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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
Tutorials
N/A
Panels and their use
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Similar Modules
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.
Information for Developers
Section under construction. |