TY - GEN
T1 - Estimation of resected liver regions using a tumor domination ratio
AU - Hariyama, Masanori
AU - Okada, Moe
AU - Shimoda, Mitsugi
AU - Kubota, Keiichi
N1 - Publisher Copyright:
© 2014 CSREA Press.
PY - 2014
Y1 - 2014
N2 - This article presents an automatic approach to estimate optimal resected-liver regions for oncologic surgery planning. Usually, resected liver regions are determined by selecting cut points on the portal vessels on 3D simulation software. Since the liver has complex vessel structure, it is difficult for human to find optimal resected liver regions. To solve this problem, a tumor domination ratio is proposed to find all portal vessels related to tumors. The tumor domination ratio allows us to compute the ideal resected region, that is, all the perfusion territories related to the tumor. Moreover, some types of conditions such as the size of vessels are considered for practical surgical use. The experimental results demonstrate that the resected liver regions of the proposed approach are much smaller than those of the conventional approach in most cases.
AB - This article presents an automatic approach to estimate optimal resected-liver regions for oncologic surgery planning. Usually, resected liver regions are determined by selecting cut points on the portal vessels on 3D simulation software. Since the liver has complex vessel structure, it is difficult for human to find optimal resected liver regions. To solve this problem, a tumor domination ratio is proposed to find all portal vessels related to tumors. The tumor domination ratio allows us to compute the ideal resected region, that is, all the perfusion territories related to the tumor. Moreover, some types of conditions such as the size of vessels are considered for practical surgical use. The experimental results demonstrate that the resected liver regions of the proposed approach are much smaller than those of the conventional approach in most cases.
KW - 3D simulation analysis
KW - Anatomic hepatectomys
KW - Medical imaging
UR - http://www.scopus.com/inward/record.url?scp=84942796435&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84942796435&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84942796435
T3 - Proceedings of the 2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014
SP - 52
EP - 56
BT - Proceedings of the 2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014
A2 - Arabnia, Hamid R.
A2 - Deligiannidis, Leonidas
A2 - Lu, Joan
A2 - Tinetti, Fernando G.
A2 - You, Jane
A2 - Jandieri, George
A2 - Schaefer, Gerald
A2 - Solo, Ashu M. G.
PB - CSREA Press
T2 - 2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014, at WORLDCOMP 2014
Y2 - 21 July 2014 through 24 July 2014
ER -