Paper
14 November 2007 Novel biomedical tetrahedral mesh methods: algorithms and applications
Xiao Yu, Yanfeng Jin, Weitao Chen, Pengfei Huang, Lixu Gu
Author Affiliations +
Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67891T (2007) https://doi.org/10.1117/12.749779
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Tetrahedral mesh generation algorithm, as a prerequisite of many soft tissue simulation methods, becomes very important in the virtual surgery programs because of the real-time requirement. Aiming to speed up the computation in the simulation, we propose a revised Delaunay algorithm which makes a good balance of quality of tetrahedra, boundary preservation and time complexity, with many improved methods. Another mesh algorithm named Space-Disassembling is also presented in this paper, and a comparison of Space-Disassembling, traditional Delaunay algorithm and the revised Delaunay algorithm is processed based on clinical soft-tissue simulation projects, including craniofacial plastic surgery and breast reconstruction plastic surgery.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiao Yu, Yanfeng Jin, Weitao Chen, Pengfei Huang, and Lixu Gu "Novel biomedical tetrahedral mesh methods: algorithms and applications", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67891T (14 November 2007); https://doi.org/10.1117/12.749779
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KEYWORDS
Reconstruction algorithms

Computer simulations

Surgery

Breast

Tissues

Finite element methods

Kidney

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