Implementation of an interactive liver surgery planning system

Luyao Wang; Jingjing Liu; Rong Yuan; Shuguo Gu; Long Yu; Zhitao Li; Yanzhao Li; Zhen Li; Qingguo Xie; Daoyu Hu

doi:10.1117/12.878461

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1 March 2011 Implementation of an interactive liver surgery planning system

Luyao Wang, Jingjing Liu, Rong Yuan, Shuguo Gu, Long Yu, Zhitao Li, Yanzhao Li, Zhen Li, Qingguo Xie, Daoyu Hu

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Proceedings Volume 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling; 79641K (2011) https://doi.org/10.1117/12.878461
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

Liver tumor, one of the most wide-spread diseases, has a very high mortality in China. To improve success rates of liver surgeries and life qualities of such patients, we implement an interactive liver surgery planning system based on contrastenhanced liver CT images. The system consists of five modules: pre-processing, segmentation, modeling, quantitative analysis and surgery simulation. The Graph Cuts method is utilized to automatically segment the liver based on an anatomical prior knowledge that liver is the biggest organ and has almost homogeneous gray value. The system supports users to build patient-specific liver segment and sub-segment models using interactive portal vein branch labeling, and to perform anatomical resection simulation. It also provides several tools to simulate atypical resection, including resection plane, sphere and curved surface. To match actual surgery resections well and simulate the process flexibly, we extend our work to develop a virtual scalpel model and simulate the scalpel movement in the hepatic tissue using multi-plane continuous resection. In addition, the quantitative analysis module makes it possible to assess the risk of a liver surgery. The preliminary results show that the system has the potential to offer an accurate 3D delineation of the liver anatomy, as well as the tumors' location in relation to vessels, and to facilitate liver resection surgeries. Furthermore, we are testing the system in a full-scale clinical trial.

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Luyao Wang, Jingjing Liu, Rong Yuan, Shuguo Gu, Long Yu, Zhitao Li, Yanzhao Li, Zhen Li, Qingguo Xie, and Daoyu Hu "Implementation of an interactive liver surgery planning system", Proc. SPIE 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, 79641K (1 March 2011); https://doi.org/10.1117/12.878461

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