title: An automatic segmentation system of acetabulum in sequential CT images for the personalized artificial femoral head design.
abstract: This paper describes an automatic and accurate segmentation method to extract the acetabulum tissue from sequential CT images. The hip joint consists of acetabulum and femoral head. In the personalized femoral head prosthesis designing by reverse engineering technology, obtaining the accurate acetabulum shape is the most important task. However, due to the necrotic femoral head's complex shape and the extremely narrow inter-bone region, obtaining the accurate acetabulum shape remains a challenging work. In this paper, we overcame these difficulties and developed an automatic segmentation method. First, we obtain the rough contour of the femoral head by utilizing the constraints of the great trochanter and the shape of femoral head in the initial slice. Second, we refine the rough contour by an orthogonal line edge detection approach and obtain a refined contour which will be used as the initial contour of the snake algorithm. Then, the snake algorithm is performed slice by slice upwards and downwards to generate the adjacent contours. During this process, the contour of the femoral head in a segmented slice is used as the initial contour of the next unsegmented slice. Finally, we can obtain the accurate sequential contours of the acetabulum by removing the femoral head and the femoral regions. And the 3D models of the acetabulum can be obtained correspondingly. The experimental result shows that the 3D models obtained by the proposed method are accurate and satisfactory. On this condition, we can reconstruct the personalized femoral head 3D models and design the personalized femoral head prosthesis.
authors.affiliation: Department of Digital Media Technology, Dalian University of Technology, Dalian 116620, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Liu
authors.affiliation: Department of Digital Media Technology, Dalian University of Technology, Dalian 116620, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Zhang
authors.affiliation: School of Mechanical Engineering, Dalian University of Technology, Dalian 116023, China.
authors.forename: Shungang
authors.initials: S
authors.lastname: Hua
authors.affiliation: Department of Digital Media Technology, Dalian University of Technology, Dalian 116620, China.
authors.forename: Qianfeng
authors.initials: Q
authors.lastname: Jiang
authors.affiliation: Department of Digital Media Technology, Dalian University of Technology, Dalian 116620, China.
authors.forename: Rui
authors.initials: R
authors.lastname: Huang
authors.affiliation: Department of Digital Media Technology, Dalian University of Technology, Dalian 116620, China.
authors.forename: Wenpeng
authors.initials: W
authors.lastname: Liu
authors.affiliation: Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116023, China.
authors.forename: Shuo
authors.initials: S
authors.lastname: Zhang
authors.affiliation: Modern Technology and Educational Department, Dalian Medical University, Dalian 116044, China. Electronic address: bingbingzhang_dmu@163.com.
authors.forename: Bingbing
authors.initials: B
authors.lastname: Zhang
authors.affiliation: Affiliated Hospital, Dalian University of Technology, Dalian 116023, China.
authors.forename: Zongge
authors.initials: Z
authors.lastname: Yue
mesh_terms: D001331:Automation; D005270:Femur Head / Q000000981:diagnostic imaging*; D006622:Hip Prosthesis; D006801:Humans; D057285:Precision Medicine; D011474:Prosthesis Design; D014057:Tomography, X-Ray Computed
keywords: Acetabulum segmentation; Artificial femoral head; Avascular necrosis of femoral head; Personalized modeling; Sequential CT images; Snake model