Liver Segmentation from CT Images Based on Region Growing Method

摘要：

Accurate liver segmentation on computed tomography (CT) images is a challenging task because of inter and intrapatient variations in liver shapes, similar intensity with its nearby organs. We proposed a liver segmentation method based on region growing approach. First of all, basic theory of region growing approach is introduced. Secondly, a pre-processing method using anisotropic filter and Gaussian function is employed to form liver likelihood images for the following segmentation. Thirdly, an improved slice-to-slice region growing method combined with centroid detection and intensity distribution analysis is proposed. Finally, the superior liver region is extracted by applying the morphologic operation. Experiments on a variety of CT images show the effectiveness and efficiency of the proposed method.

关键词： liver segmentation anisotropic filter Gaussian function region growing method centroid detection morphologic operation

作者: Yufei Chen Zhicheng Wang Weidong Zhao Xiaochun Yang

作者单位: Research Center of CAD,Tongji University,Shanghai 200092,China The Engineering Research Center for E Research Center of CAD,Tongji University,Shanghai 200092,China The Engineering Research Center for E

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）