NDLI: Meshing interfaces of multi-label data with Delaunay refinement

Content Provider	Springer Nature Link
Author	Dey, Tamal K. Jaos, Firdaus Levine, Joshua A.
Copyright Year	2011
Abstract	In medical imaging, the generation of surface representations of anatomical objects obtained by labeling images from various modalities, is a critical component for visualization, simulation, and analysis. The interfaces between labeled regions can meet at arbitrary angles and with complex topologies, causing most automatic meshing algorithms to fail. We apply a recent Delaunay refinement algorithm to generate high quality triangular meshes that approximate the interface surfaces. This algorithm has proven guarantees for meshing piecewise-smooth shapes and its implementation overhead is low. Consequently, the approach is applicable to labeled datasets generated from binary segmentations as well as from probabilistic segmentation algorithms. We show the effectiveness of this technique on data from a variety of medical fields and discuss its ability to control the quality and size of the output meshes. The same algorithm can be used to generate tetrahedral meshes of the segmentation space.
Starting Page	71
Ending Page	82
Page Count	12
File Format	PDF
ISSN	01770667
Journal	Engineering with Computers
Volume Number	28
Issue Number	1
e-ISSN	14355663
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-04-21
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Boundary surface mesh generation Medical visualization Delaunay refinement Piecewise-smooth complexes Non-manifold topology Systems Theory, Control Computer-Aided Engineering (CAD, CAE) and Design ApplicationMathematics/Computational Methods of Engineering Math. Applications in Chemistry Mechanics Calculus of Variations and Optimal Control; Optimization
Content Type	Text
Resource Type	Article
Subject	Engineering Computer Science Applications Modeling and Simulation Software

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