TY - GEN
T1 - A robust semi-automatic approach for ROI segmentation in 3D CT images
AU - Lu, Kongkuo
AU - Xue, Zhong
AU - Wong, Stephen T.
PY - 2013
Y1 - 2013
N2 - In CT-based clinical applications, segmentation of regions of interest (ROIs) is a preliminary but vital step. The task is, however, quite challenging, especially for 3D objects, because suspicious ROIs are usually soft-tissue structures, which include a various organs and anatomical objects while sharing a small intensity dynamic range in CT images. Furthermore, the ROIs usually vary significantly in size, shape, and boundary conditions. Among considerable efforts contributed to addressing the problem, live wire, also known as intelligent scissors, has been recognized as an efficient and robust tool for dealing with a wide range of 2D ROIs. Such an approach provides full user control during the process while minimizing human interaction to optimally counterbalance automatic and manual approaches. In this work, we improve our previous live-wire-based segmentation of 3D objects and the experiment results show its efficiency and robustness.
AB - In CT-based clinical applications, segmentation of regions of interest (ROIs) is a preliminary but vital step. The task is, however, quite challenging, especially for 3D objects, because suspicious ROIs are usually soft-tissue structures, which include a various organs and anatomical objects while sharing a small intensity dynamic range in CT images. Furthermore, the ROIs usually vary significantly in size, shape, and boundary conditions. Among considerable efforts contributed to addressing the problem, live wire, also known as intelligent scissors, has been recognized as an efficient and robust tool for dealing with a wide range of 2D ROIs. Such an approach provides full user control during the process while minimizing human interaction to optimally counterbalance automatic and manual approaches. In this work, we improve our previous live-wire-based segmentation of 3D objects and the experiment results show its efficiency and robustness.
KW - CT
KW - live wire
KW - liver cancer
KW - Lung cancer
KW - semi-automatic segmentation
UR - http://www.scopus.com/inward/record.url?scp=84886457847&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84886457847&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2013.6610700
DO - 10.1109/EMBC.2013.6610700
M3 - Conference contribution
C2 - 24110887
AN - SCOPUS:84886457847
SN - 9781457702167
VL - 2013
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 5119
EP - 5122
BT - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
T2 - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Y2 - 3 July 2013 through 7 July 2013
ER -