Geometrical modeling using multiregional marching tetrahedra for bioluminescence tomography (original) (raw)

Construction of volume meshes from computed tomography data

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2005

In this paper, we present a new method, called marching volume elements (MVE), for automatically constructing a volume mesh from three-dimensional (3-D) high-resolution computed tomography (CT) data. The volume mesh generated by the MVE algorithm is suitable for computational fluid dynamics (CFD) simulations. The MVE algorithm is based on the marching cubes (MC) algorithm which is a surface generation algorithm for 3-D intensity data. The mesh created with the MVE algorithm is composed of pyramids, cubes and tetrahedrons with common faces that fit together to form a topologically consistent volume. We validate the MVE algorithm on a synthetic object and demonstrate it on CT scans of a human nasal cavity.

Tetrahedral Mesh Generation for Medical Imaging

Medical Image Computing and Computer-Assisted Intervention, 2000

We describe the open source implementation of an adap- tive tetrahedral mesh generator particularly targeted for non-rigid FEM registration of MR images. While many medical imaging applications re- quire robust mesh generation, there are few codes available. Moreover, most of the practical implementations are commercial. The algorithm we have implemented has been previously evaluated for simulations of highly deformable objects,