TY - GEN
T1 - Planning of middle hepatic vein-guided hemihepatectomy
T2 - 6th International Workshop on Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, MIAR 2013 and 8th International Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013
AU - Chen, Wenyu
AU - Zhou, Jiayin
AU - Huang, Weimin
AU - Chi, Yanling
AU - Xiong, Wei
AU - Venkatesh, Sudhakar Kundapur
AU - Chang, Stephen Kin Yong
AU - Liu, Jimin
AU - Tian, Qi
PY - 2013/12/30
Y1 - 2013/12/30
N2 - Hemihepatectomy is a regular way to resect the liver graft for living donor liver transplantation. Middle hepatic vein (MHV)-guided precise hemihepatectomy demands high-quality pre-surgery planning. This paper presents a pre-operative planning system to assist surgeons in risk assessment and planning the resection pathway with a desired safety margin to MHV. Our algorithm is able to automatically construct a smooth resection pathway according to a few user-input control points and the desired safety margin. Moreover, the resection pathway is optimized by minimizing the resection area for less liver impair. Experiment of planning MHV-guided hemihepatectomy on six healthy livers was conducted and the blood-free liver parenchyma volumes of the graft and the remnant were computed for risk assessment. The comparison between the planning results using the proposed system and the results from the conventional 2D slice-based planning suggests that the proposed planning system is more convenient and provides a better planning result.
AB - Hemihepatectomy is a regular way to resect the liver graft for living donor liver transplantation. Middle hepatic vein (MHV)-guided precise hemihepatectomy demands high-quality pre-surgery planning. This paper presents a pre-operative planning system to assist surgeons in risk assessment and planning the resection pathway with a desired safety margin to MHV. Our algorithm is able to automatically construct a smooth resection pathway according to a few user-input control points and the desired safety margin. Moreover, the resection pathway is optimized by minimizing the resection area for less liver impair. Experiment of planning MHV-guided hemihepatectomy on six healthy livers was conducted and the blood-free liver parenchyma volumes of the graft and the remnant were computed for risk assessment. The comparison between the planning results using the proposed system and the results from the conventional 2D slice-based planning suggests that the proposed planning system is more convenient and provides a better planning result.
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U2 - 10.1007/978-3-642-40843-4_7
DO - 10.1007/978-3-642-40843-4_7
M3 - Conference contribution
AN - SCOPUS:84890914097
SN - 9783642408427
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 55
EP - 64
BT - Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc.
Y2 - 22 September 2013 through 22 September 2013
ER -