Automatic segmentation and 3D reconstruction of human liver based on CT image

摘要：

3D shape reconstruction of the liver from its 2D cross-sectionsimproves the surgeons knowledge of liver anatomy andmakes even more complicated liver surgery safe, which can beemployed to aid clinical practice as an alternative tool. In thispaper, a new method for 3D reconstruction of liver is proposed.It mainly consists of three steps: liver auto-segmentation, surfacereconstruction and surface rendering. Firstly, an effectiveautomatic segmentation method based on graph-theory isproposed for extracting liver. Then, NMC algorithm based on acombination of MC and Cuberille algorithms is applied toaccomplish surface reconstruction of liver. Finally, surfacerendering of liver is implemented by 3D graphics libraryOpenGL. The method mentioned above is being tested onnumerous experiments of 3D reconstruction of liver and resultsare promising.

作者: Haiming Ai Chunlan Yang Shuicai Wu Yi Zeng Song Bo

作者单位: College of Life Science & Bioengineering Beijing University of Technology Beijing, China CT Room Penze Peoples Hospital Penze County, Jiangxi Province

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）