Chinese Journal of Tissue Engineering Research ›› 2016, Vol. 20 ›› Issue (39): 5873-5878.doi: 10.3969/j.issn.2095-4344.2016.39.015

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Automatic segmentation method for hip joint based on Bayesian Decision Theory

Ma An-bang1, Wang Dong1, 2, Wu Hui-hui1, Dai Ke-rong1, 2, Gu Dong-yun1, 2   

  1. 1School of Biomedical Engineering, Shanghai Jiao Tong University, Engineering Research Center of the Ministry of Education for Clinical Transformation of Digital Medicine, Shanghai 200030, China; 2Department of Orthopedics, Ninth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
  • Revised:2016-07-07 Online:2016-09-23 Published:2016-09-23
  • About author:Ma An-bang, School of Biomedical Engineering, Shanghai Jiao Tong University, Engineering Research Center of the Ministry of Education for Clinical Transformation of Digital Medicine, Shanghai 200030, China

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Abstract:

BACKGROUND: Hip segmentation based on CT image has been widely used in computer-assisted surgery planning, prosthesis design and finite element analysis.

OBJECTIVE: To explore application effects of automatic segmentation method for hip joint based on Bayesian Decision Theory in computer-assisted hip surgery.
METHODS: An accurate outer surface segmentation and extraction remain challenging due to deformed shapes and extremely narrow inter-bone regions. In this paper, we present an automatic, fast and accurate approach for segmentation of femoral head and proximal acetabulum. The outline of the femur was segmented and extracted by contrast enhancement, thresholding algorithm and region growth algorithm. The boundaries of the bone regions are further refined based on Bayes decision rule.
RESULTS AND CONCLUSION: Automatic segmentation method for hip joint based on Bayesian Decision Theory is an accurate segmentation technique for femoral head and proximal acetabulum and it can be applied in computer-assisted hip surgery and prosthesis design. 

 

Key words: Arthroplasty, Replacement, Hip, Hip Joint, Prosthesis Implantation, Tissue Engineering

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