3D shape decomposition for gallbladder anomaly analysis

Weimin Huang, Jiayin Zhou, Jiang Liu, Jing Zhang, Tao Yang, Su Yi, Gim Han Law, Chee Kong Chui, Stephen Chang

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper presents an approach to the gallbladder anomaly analysis using 3D shape modeling and 2D image segmentation. The 3D shape of gallbladder is represented as a surface mesh model, which is constructed from the contours segmented in CT data by a scheme of propagation based voxel classification. To better extract the shape feature, the surface mesh is further down-sampled by a decimation filter and smoothed by a Taubin algorithm. The curvatures are computed on the regularized mesh for the salience region localization on the surface. With a given tolerance the 3D shape can be decomposed and represented as 3D ellipsoids, which reveal the shape topology and anomaly of a gallbladder. Preliminary experiments on 10 sets of gallbladder CT data have shown the promising results in the shape structure extraction and shape anomaly detection.

Original languageEnglish
Pages667-673
Number of pages7
Publication statusPublished - 2010
Externally publishedYes
Event2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010 - Biopolis, Singapore
Duration: 14 Dec 201017 Dec 2010

Conference

Conference2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010
Country/TerritorySingapore
CityBiopolis
Period14/12/1017/12/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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