High-Quality Consistent Meshing of Multi-Label Datasets

Abstract : Inthispaper,weextendsomerecentprovablycorrectDelaunay-based meshing algorithms to the case of multi-label partitions, so that they can be applied to the generation of high-quality geometric models from labeled med- ical datasets. Our approach enforces watertight surface meshes free of self- intersections, and outputs surface and volume meshes of the different tissues which are consistent with each other, including at multiple junctions. Moreover, the abstraction of the tissue partition into an oracle that, given a point in space, answers which tissue it belongs to, makes our approach applicable to virtually any combination of data sources. Finally, our approach offers extensive control over the size and shape of mesh elements, through customizable quality crite- ria on triangular facets and on tetrahedra, which can be tuned independently for the different anatomical structures. Our numerical experiments demonstrate the effectiveness and flexibility of our approach for generating high-quality surface and volume meshes from real multi-label medical datasets.
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https://hal.archives-ouvertes.fr/hal-00488043
Contributor : Jean-Daniel Boissonnat <>
Submitted on : Tuesday, June 1, 2010 - 8:51:01 AM
Last modification on : Tuesday, April 2, 2019 - 2:16:13 PM
Long-term archiving on : Friday, September 17, 2010 - 11:25:40 AM

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Jean-Philippe Pons, Florent Ségonne, Jean-Daniel Boissonnat, Laurent Rineau, Mariette Yvinec, et al.. High-Quality Consistent Meshing of Multi-Label Datasets. International Conference on Information Processing in Medical Imaging 2007, 2007, Netherlands. pp.200. ⟨hal-00488043⟩

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