Document Type
Article
Publication Date
2011
DOI
10.1137/100815256
Publication Title
SIAM Journal on Scientific Computing
Volume
33
Issue
6
Pages
3491-3508
Abstract
We present a novel algorithm for tetrahedral image-to-mesh conversion which allows for guaranteed bounds on the smallest dihedral angle and on the distance between the boundaries of the mesh and the boundaries of the tissues. The algorithm produces a small number of mesh elements that comply with these bounds. We also describe and evaluate our implementation of the proposed algorithm that is compatible in performance with a state-of-the art Delaunay code, but in addition solves the small dihedral angle problem. Read More: http://epubs.siam.org/doi/10.1137/100815256
Original Publication Citation
Chernikov, A. N., & Chrisochoides, N. P. (2011). Multitissue tetrahedral image-to-mesh conversion with guaranteed quality and fidelity. SIAM Journal on Scientific Computing, 33(6), 3491-3508. doi:10.1137/100815256
Repository Citation
Chernikov, A. N., & Chrisochoides, N. P. (2011). Multitissue tetrahedral image-to-mesh conversion with guaranteed quality and fidelity. SIAM Journal on Scientific Computing, 33(6), 3491-3508. doi:10.1137/100815256
Comments
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