TY - GEN
T1 - Segmentation of gallbladder from CT images for a surgical training system
AU - Zhou, Jiayin
AU - Huang, Weimin
AU - Zhang, Jing
AU - Yang, Tao
AU - Liu, Jiang
AU - Chui, Chee Kong
AU - Chang, Stephen
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - A semi-automatic method was developed for the segmentation of 3D gallbladders (GB) from CT images, in order to construct a patient-specific model for a surgical training system. First a support vector machine (SVM) classifier was trained to extract GB region from one single 2D slice in the intermediate part of a GB by voxel classification. Then the extracted GB contour, after some morphological operations, was projected to the neighboring slices for automated re-sampling, learning and further voxel classification in these slices. This propagation procedure continued till all GB-containing slices were processed. The method was tested using 18 CT data sets and a set of quantitative measures were computed. The averaged volume overlap error of 15.56% and surface distance of 0.64 mm suggested that the method is efficient and promising.
AB - A semi-automatic method was developed for the segmentation of 3D gallbladders (GB) from CT images, in order to construct a patient-specific model for a surgical training system. First a support vector machine (SVM) classifier was trained to extract GB region from one single 2D slice in the intermediate part of a GB by voxel classification. Then the extracted GB contour, after some morphological operations, was projected to the neighboring slices for automated re-sampling, learning and further voxel classification in these slices. This propagation procedure continued till all GB-containing slices were processed. The method was tested using 18 CT data sets and a set of quantitative measures were computed. The averaged volume overlap error of 15.56% and surface distance of 0.64 mm suggested that the method is efficient and promising.
KW - Gallbladder
KW - Image segmentation
KW - Image-guided surgical training
KW - Support vector machine (SVM)
UR - http://www.scopus.com/inward/record.url?scp=78650636521&partnerID=8YFLogxK
U2 - 10.1109/BMEI.2010.5639989
DO - 10.1109/BMEI.2010.5639989
M3 - Conference contribution
AN - SCOPUS:78650636521
SN - 9781424464968
T3 - Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
SP - 536
EP - 540
BT - Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
T2 - 3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010
Y2 - 16 October 2010 through 18 October 2010
ER -