Document Type
Article
Publication Date
2015
DOI
10.1016/j.proeng.2015.10.139
Publication Title
Procedia Engineering
Volume
124
Issue
Supplement C
Pages
278-290
Abstract
We describe a new implementation of an adaptive multi-tissue tetrahedral mesh generator targeting anatomic modeling of Arteriovenous Malformation (AVM) for surgical simulations. Our method, initially constructs an adaptive Body-Centered Cubic (BCC) mesh of high quality elements. Then, it deforms the mesh surfaces to their corresponding physical image boundaries, hence, improving the mesh fidelity and smoothness. Our deformation scheme, which builds upon the ITK toolkit, is based on the concept of energy minimization, and relies on a multi-material point-based registration. It uses non-connectivity patterns to implicitly control the number of the extracted feature points needed for the registration, and thus, adjusts the trade-off between the achieved mesh fidelity and the deformation speed. While many medical imaging applications require robust mesh generation, there are few codes available to the public. We compare our implementation with two similar open-source image-to-mesh conversion codes: (1) Cleaver from US, and (2) CGAL from EU. Our evaluation is based on five isotropic/anisotropic segmented images, and relies on metrics like geometric & topologic fidelity, mesh quality, gradation and smoothness. The implementation we describe is open- source and it will be available within: (i) the 3D Slicer package for visualization and image analysis from Harvard Medical School, and (ii) an interactive simulator for neurosurgical procedures involving vasculature using SOFA, a framework for real-time medical simulation developed by INRIA.
Original Publication Citation
Drakopoulos, F., Ortiz, R., Enquobahrie, A., Sasaki-Adams, D., & Chrisochoides, N. (2015). Tetrahedral image-to-mesh conversion software for anatomic modeling of arteriovenous malformations. Procedia Engineering, 124(Supplement C), 278-290. doi:10.1016/j.proeng.2015.10.139
Repository Citation
Drakopoulos, F., Ortiz, R., Enquobahrie, A., Sasaki-Adams, D., & Chrisochoides, N. (2015). Tetrahedral image-to-mesh conversion software for anatomic modeling of arteriovenous malformations. Procedia Engineering, 124(Supplement C), 278-290. doi:10.1016/j.proeng.2015.10.139
Comments
This is an open access article under the CC-BY-NC-ND License (http://creativecommons.org/licenses/by-nc-nd/4.0/).