Fast segmentation and modeling of hepatic components for the planning of robot-assisted liver tumor ablation
| Autor: | Jiayin Zhou, Yanling Chi, Stephen Chang, Weimin Huang, Kyaw Kyar Toe, Chee-Kong Chui |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Liver tumor Support Vector Machine Swine Context (language use) 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Imaging Three-Dimensional Component (UML) medicine Animals Humans Computer vision Segmentation Polygon mesh Radiation treatment planning business.industry Liver Neoplasms Robotics medicine.disease Support vector machine Liver 030220 oncology & carcinogenesis Artificial intelligence Tomography business Tomography X-Ray Computed Algorithms |
| Zdroj: | EMBC |
| ISSN: | 2694-0604 |
| Popis: | Segmentation and modeling of hepatic components from pre-operative images is very important for treatment planning and guidance in robot-assisted liver tumor ablation. An in-house developed system for hepatic component segmentation and modeling using CT data is presented in this paper. This system includes gross liver segmentation by a 3D mesh deformation model, liver vasculature segmentation by a vessel context-based voting and grouping method, liver tumor segmentation by a support vector machine framework, and other segmentation/modeling tool. This system was tested using 20 data sets from human patients and 5 sets of porcine CT scan. It is suggested by experimental results that the developed system is able to conduct fast segmentation and modeling of hepatic components for both human and large animal, with a satisfying accuracy, to support treatment planning. |
| Databáze: | OpenAIRE |
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