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《Journal of Southern Medical University》 2012-01
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Liver CT image segmentation using statistical shape model based on statistical and specific information

LI Chunli,ZHANG Jiulou,FENG Qianjin School of Biomedical Engineering,Southern Medical University,Guangzhou 510515,China  
We propose an effective algorithm for accurate 3D segmentation of CT liver images based on statistical and specific information.We present a new intensity model which combines patient-specific intensity information of boundary with the statistical information for liver segmentation.Compared to the traditional methods,our approach not only produces excellent segmentation accuracy,but also increases the robustness.
【Fund】: 国家973重点基础研究发展计划项目(2010CB732505);; 国家自然科学青年基金(30900380)~~
【CateGory Index】: TP391.41
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