Please use this identifier to cite or link to this item:
|Title:||3D shape decomposition and comparison for gallbladder modeling||Authors:||Huang, W.
|Keywords:||Gallbladder shape model
Saliency landmark detection
|Issue Date:||2011||Citation:||Huang, W., Zhou, J., Liu, J., Zhang, J., Yang, T., Su, Y., Law, G.H., Chui, C.K., Chang, S. (2011). 3D shape decomposition and comparison for gallbladder modeling. Progress in Biomedical Optics and Imaging - Proceedings of SPIE 7964 : -. ScholarBank@NUS Repository. https://doi.org/10.1117/12.878016||Abstract:||This paper presents an approach to gallbladder shape comparison by using 3D shape modeling and decomposition. The gallbladder models can be used for shape anomaly analysis and model comparison and selection in image guided robotic surgical training, especially for laparoscopic cholecystectomy simulation. The 3D shape of a gallbladder is first represented as a surface model, reconstructed from the contours segmented in CT data by a scheme of propagation based voxel learning and classification. To better extract the shape feature, the surface mesh is further down-sampled by a decimation filter and smoothed by a Taubin algorithm, followed by applying an advancing front algorithm to further enhance the regularity of the mesh. Multi-scale curvatures are then computed on the regularized mesh for the robust saliency landmark localization on the surface. The shape decomposition is proposed based on the saliency landmarks and the concavity, measured by the distance from the surface point to the convex hull. 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. The features based on the decomposed shape model are proposed for gallbladder shape comparison, which can be used for new model selection. We have collected 19 sets of abdominal CT scan data with gallbladders, some shown in normal shape and some in abnormal shapes. The experiments have shown that the decomposed shapes reveal important topology features. © 2011 SPIE.||Source Title:||Progress in Biomedical Optics and Imaging - Proceedings of SPIE||URI:||http://scholarbank.nus.edu.sg/handle/10635/72997||ISBN:||9780819485069||ISSN:||16057422||DOI:||10.1117/12.878016|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 15, 2019
checked on Oct 13, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.