NDLI: Simplex-based surface and contour models for segmentation and meshing for surgery simulation

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Simplex-based surface and contour models for segmentation and meshing for surgery simulation

Content Provider	ACM Digital Library
Author	Haq, Rabia Audette, Michel A. Rashid, Tanweer Sultana, Sharmin
Abstract	Medical simulation generally requires at least two types of model: one each for the anatomy and therapy. Generally, the anatomical modeling requires separate algorithmic stages for segmentation, which maps voxel intensities from MRI/CT to tissues, and meshing, which decomposes tissues into simple shapes conducive to therapy simulation. This paper describes techniques under development that can both improve the robustness of the segmentation and simplify the meshing: 3D active Simplex surface and contour models. A n-simplex is characterized as a mesh with n+1 connectivity: a 2-Simplex produces a surface mesh where every vertex is linked by edges to 3 neighboring vertices, dual to triangulated mesh, while a 1-Simplex produces a contour model with every vertex linked to two vertices. The 2-Simplex is already well-published, and is used in conjunction with a Newtonian model of the vertex motion, based on the application of both internal and external forces: the internal forces generally impose model behavior encompassing surface continuity while the external forces include a balloon-like inflation force as well as an image-based stopping force. The final Simplex surface mesh can then anchor subsequent tetrahedral meshing. Modifications to this 2-Simplex in the literature include the application of a shape statistics force derived from a population of anatomical equivalents, aswell as multi-surface modeling with resolution control and static collision detection, which prevents proximate surface models from overlapping each other spatially. Our improvements to Simplex modeling, in conjunction with neurosurgery simulation research, include the combination of shape statistics and multi-surface modeling in the 2-Simplex for spine surgery simulation, a 2-Simplex with shared boundaries based on multi-material contouring for representing a deep-brain atlas as a multi-surface mesh and enabling real-timebrain shift estimation in robotic deep-brain stimulation, and a 1-Simplex.
Starting Page	9
Ending Page	15
Page Count	7
File Format	PDF
ISBN	9781510801028
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-04-12
Publisher Place	San Diego
Access Restriction	Subscribed
Subject Keyword	Simplex Anatomical modeling Medical simulation Segmentation Active surface models Meshing
Content Type	Text
Resource Type	Article

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