Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72998
Title: 3D shape decomposition for gallbladder anomaly analysis
Authors: Huang, W.
Zhou, J.
Liu, J.
Zhang, J.
Yang, T.
Yi, S.
Law, G.H.
Chui, C.K. 
Chang, S.
Issue Date: 2010
Source: Huang, W.,Zhou, J.,Liu, J.,Zhang, J.,Yang, T.,Yi, S.,Law, G.H.,Chui, C.K.,Chang, S. (2010). 3D shape decomposition for gallbladder anomaly analysis. APSIPA ASC 2010 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference : 667-673. ScholarBank@NUS Repository.
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.
Source Title: APSIPA ASC 2010 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/72998
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