Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compeleceng.2012.05.012
Title: GPU-friendly gallbladder modeling in laparoscopic cholecystectomy surgical training system
Authors: Zhang, J.
Zhou, J.
Huang, W.
Qin, J.
Yang, T.
Liu, J.
Su, Y.
Chui, C.K. 
Chang, S.
Issue Date: Jan-2013
Source: Zhang, J.,Zhou, J.,Huang, W.,Qin, J.,Yang, T.,Liu, J.,Su, Y.,Chui, C.K.,Chang, S. (2013-01). GPU-friendly gallbladder modeling in laparoscopic cholecystectomy surgical training system. Computers and Electrical Engineering 39 (1) : 122-129. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compeleceng.2012.05.012
Abstract: A challenge in virtual reality based laparoscopic cholecystectomy simulation is to construct a fast and accurate deformable gallbladder model. This paper proposed a multi-layered mass-spring model which can adapt well to the built-in accelerating algorithms in PhysX-Engine of Graphics Processing Unit (GPU). The gallbladder was first segmented from clinical Computed Tomography (CT) images. From the segmentation result, a surface mesh of a gallbladder was constructed. The inner layers of a mass-spring model were generated from the surface mesh based on the anatomical structure of gallbladder. We configured the parameters of the springs based on the biomechanical properties of gallbladder to ensure the reality of the deformation results. Preliminary experiments demonstrated that our model was able to achieve satisfactory results in terms of both visual perception and time performance. © 2012 Elsevier Ltd. All rights reserved.
Source Title: Computers and Electrical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/60413
ISSN: 00457906
DOI: 10.1016/j.compeleceng.2012.05.012
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