Model-Based Segmentation of Femoral Head and Acetabulum from CT Images
Segmentation of bone tissue is an important topic in computer assisted medical image analysis. In particular, automatic segmentation of femoral head and acetabulum from CT dataset of hip joint respectively is of importance for various corresponding clinical tasks including visualization, quantitative assessment, early diagnosis and adequate management of patients suffering from avascular necrosis of the femoral head (ANFH). The non-uniformity of bone tissue, ranging from dense cortical bone to loose trabecular bone, the weakly defined joint space between femoral head and acetabulum and the inherent blurring of CT imaging render the segmentation of hip joint bones a challenging task. Traditional segmentation methods, e. g. thresholding, region growing and morphological can not well satisfy the segmentation demands. We then propose a statistical shape model based segmentation for bones in hip joint. In this paper, an improved algorithm of automatic landmarks selection for the generation of PDM for ASM is presented, the procedure of constructing ASM is described and the method using ASM to classify corresponding bone is analyzed and implemented.
Wei wei Song Guan hua Li Zong ying Ou Jun Han De wei Zhao Wei ming Wang
School of Mechanical Engineering, University of Jinan, Jinan, ShanDong 250022 P. R. China;Key Labora Key Laboratory for Dalian University of Technology Precision & Non-traditional Machining of Ministry Dalian Modern High-Tech Development Co., Lt, Dalian, LiaoNing 116024 P. R. China Affiliated Zhongshan Hospital of Dalian University, Dalian, LiaoNing 116024 P. R. China
国际会议
北京
英文
581-585
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）