NDLI: Model-Based Segmentation of Femoral Head and Acetabulum from CT Images

Content Provider	IEEE Xplore Digital Library
Author	Wei wei Song Guan hua Li Zong ying Ou Jun Han De wei Zhao Wei ming Wang
Copyright Year	2007
Description	Author affiliation: Univ. of Jinan, Jinan (Wei wei Song)
Abstract	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.
Starting Page	586
Ending Page	590
File Size	795364
Page Count	5
File Format	PDF
ISBN	9781424410774
DOI	10.1109/ICCME.2007.4381803
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Visualization Head Bone tissue Image analysis Computed tomography Joints Hip Medical diagnostic imaging Biomedical imaging
Content Type	Text
Resource Type	Article

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