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Significance
Rapid advances in biophotonics techniques require quantitative, model-based computational approaches to obtain functional and structural information from increasingly complex and multi-scaled anatomies. The lack of efficient tools to accurately model tissue structures and subsequently perform quantitative multi-physics modeling greatly...
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Context 1
... for Iso2Mesh are node coordinates, face data, and mesh generation parameters. In addition, Iso2Mesh calls Tetgen (version 1.5) for mesh generation and region labeling. After tetrahedral mesh generation, Iso2Mesh returns three output data arrays, namely, "node", "face", "elem" (see Fig. 6). They correspond to the vertices of the tetrahedral mesh, the faces triangle node indices, and the vertex indices of each tetrahedron, along with a label denoting the region where it belongs to, respectively. The tetrahedral mesh data are cached in a separate .jmsh file for subsequent calls. In addition, the exterior triangular ...
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Significance:
Rapid advances in biophotonics techniques require quantitative, model-based computational approaches to obtain functional and structural information from increasingly complex and multiscaled anatomies. The lack of efficient tools to accurately model tissue structures and subsequently perform quantitative multiphysics modeling greatly...
