北京生物医学工程2011，Vol.30Issue(5)：457-461,5.DOI:10.3969/j.issn.1002-3208.2011.05.04
基于图谱的肝脏CT三维自动分割研究
Atlas Based Automatic Liver 3D CT Image Segmentation
刘伟 1贾富仓 2胡庆茂 2王俊1
作者信息
- 1. 南京邮电大学,图像处理与图像通信江苏省重点实验室,南京,210003
- 2. 中国科学院深圳先进技术研究院,人机交互研究中心,广东深圳,518055
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摘要
Abstract
Objective Liver segmentation is an important step for the planning and navigation in liver surgery. Accurate, fast and robust automatic segmentation methods for clinical routine data are urgently needed. Because of the liver- s characteristics, such as the complexity of the external form, the similarity between the intensities of the liver and the tissues around it, automatic segmentation of the liver is one of the difficulties in medical image processing. Methods In this paper, 3D non-rigid registration from a refined atlas to liver CT images is used for segmentation. Firstly, twenty sets of training images are utilized to create an atlas. Then the liver initial region is searched and located automatically. After that threshold filtering is used to enhance the robustness of segmentation. Finally, this atlas is non-rigidly registered to the liver in CT images with affine and B-spline in succession. The registered segmentation of liver- s atlas represented the segmentation of the target liver, and then the liver volume was calculated. Results The evaluation show that the proposed method works well in liver volume error, with the 77 score, yet appears greater error in local position ( mostly in liver tips) . Conclusions Experimental results show that this method is feasible for clinical liver CT image segmentation.关键词
图谱/肝脏/自动分割/配准Key words
atlas/ liver/ automatic segmentation/ registration分类
医药卫生引用本文复制引用
刘伟,贾富仓,胡庆茂,王俊..基于图谱的肝脏CT三维自动分割研究[J].北京生物医学工程,2011,30(5):457-461,5.
