Documentation/Nightly/Modules/BodyCentricCubicMesh

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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 module generates a Body Centric Cubic (BCC) mesh from a labeled image. Initially the generated mesh is homogeneous, that means does not distinguish different tissues. Later the module specifies which tissue each tetrahedron belongs to. Each tissue is capable of automatically adjusting its resolution based on its geometric complexity and the predefined subdivision criterion. The current version of the module supports a single-tissue input labeled image.

Use Cases

Brain BCC mesh

Nidus BCC mesh

Ventricles BCC mesh

Panels and their use

Input/Output panel: Fixed Volume: Here you choose the "fixed image", which is the reference image.

User Interface

References

• Fedorov A., Chrisochoides N., Kikinis R., Warfield S, "Tetrahedral mesh generation for medical imaging", The Insight Journal-2005 MICCAI Open-Source Workshop, 2005
• 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.