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|Title:||3D shape decomposition for gallbladder anomaly analysis|
|Citation:||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|
|Appears in Collections:||Staff Publications|
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