Improved geometric constraints on deformable surface model for volumetric segmentation

Jiuxiang Hu, Anshuman Razdan, Gregory M. Nielson, Gerald E. Farin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In this paper, we present a deformable surface geometric model for segmenting targets from volumetric data. This model deforms under external forces only, and changes its geometry and topology by using improved geometric constraints. External forces are calculated by using the sum of inflation forces, whose contributions take place on internal regions of objects, and the gradient forces, which play a key role when the surface is near the boundary of objects. A new set of geometric constraints is proposed which includes constraints on vertices, edges and faces. Once a constraint is broken, the corresponding topological transformation will occur to keep the geometric and topological integrity of the surface unaltered. We demonstrate that our model can efficiently segment complex anatomic structures from medical 3D images, and achieve the requirements of accuracy and geometry for image segmentation.

Original languageEnglish (US)
Title of host publicationProceedings - Geometric Modeling and Processing 2004
EditorsS.M. Hu, H. Pottmann
Pages237-245
Number of pages9
StatePublished - Sep 29 2004
EventProceedings - Geometric Modeling and Processing 2004 - Beijing, China
Duration: Apr 13 2004Apr 15 2004

Publication series

NameProceedings - Geometric Modeling and Processing 2004

Other

OtherProceedings - Geometric Modeling and Processing 2004
Country/TerritoryChina
CityBeijing
Period4/13/044/15/04

ASJC Scopus subject areas

  • Engineering(all)

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