Paper
18 March 2016 A web-based computer aided system for liver surgery planning: initial implementation on RayPlus
Ming Luo, Rong Yuan, Zhi Sun, Tianhong Li, Qingguo Xie
Author Affiliations +
Abstract
At present, computer aided systems for liver surgery design and risk evaluation are widely used in clinical all over the world. However, most systems are local applications that run on high-performance workstations, and the images have to processed offline. Compared with local applications, a web-based system is accessible anywhere and for a range of regardless of relative processing power or operating system. RayPlus (http://rayplus.life.hust.edu.cn), a B/S platform for medical image processing, was developed to give a jump start on web-based medical image processing. In this paper, we implement a computer aided system for liver surgery planning on the architecture of RayPlus. The system consists of a series of processing to CT images including filtering, segmentation, visualization and analyzing. Each processing is packaged into an executable program and runs on the server side. CT images in DICOM format are processed step by to interactive modeling on browser with zero-installation and server-side computing. The system supports users to semi-automatically segment the liver, intrahepatic vessel and tumor from the pre-processed images. Then, surface and volume models are built to analyze the vessel structure and the relative position between adjacent organs. The results show that the initial implementation meets satisfactorily its first-order objectives and provide an accurate 3D delineation of the liver anatomy. Vessel labeling and resection simulation are planned to add in the future. The system is available on Internet at the link mentioned above and an open username for testing is offered.
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Ming Luo, Rong Yuan, Zhi Sun, Tianhong Li, and Qingguo Xie "A web-based computer aided system for liver surgery planning: initial implementation on RayPlus", Proc. SPIE 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, 97861N (18 March 2016); https://doi.org/10.1117/12.2217407
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KEYWORDS
Liver

Computing systems

Surgery

Image segmentation

Image processing

3D modeling

Medical imaging

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