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

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 conference › Paper › peer-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 language	English
Pages	667-673
Number of pages	7
Publication status	Published - 2010
Externally published	Yes
Event	2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010 - Biopolis, Singapore Duration: 14 Dec 2010 → 17 Dec 2010

Conference

Conference	2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010
Country/Territory	Singapore
City	Biopolis
Period	14/12/10 → 17/12/10

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Cite this

@conference{e2b93c569ebe4fc7a0e3ca5a060c3724,

title = "3D shape decomposition for gallbladder anomaly analysis",

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.",

author = "Weimin Huang and Jiayin Zhou and Jiang Liu and Jing Zhang and Tao Yang and Su Yi and Law, {Gim Han} and Chui, {Chee Kong} and Stephen Chang",

note = "Copyright: Copyright 2011 Elsevier B.V., All rights reserved.; 2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010 ; Conference date: 14-12-2010 Through 17-12-2010",

year = "2010",

language = "English",

pages = "667--673",

}

TY - CONF

T1 - 3D shape decomposition for gallbladder anomaly analysis

AU - Huang, Weimin

AU - Zhou, Jiayin

AU - Liu, Jiang

AU - Zhang, Jing

AU - Yang, Tao

AU - Yi, Su

AU - Law, Gim Han

AU - Chui, Chee Kong

AU - Chang, Stephen

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=79958137936&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:79958137936

SP - 667

EP - 673

T2 - 2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010

Y2 - 14 December 2010 through 17 December 2010

ER -

3D shape decomposition for gallbladder anomaly analysis

Abstract

Conference

ASJC Scopus subject areas

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