Automatic segmentation technique for acetabulum and femoral head in CT images

Segmentation of the femoral head and proximal acetabulum from three dimensional (3D) CT data is essential for patient specific planning and simulation of hip surgery whereas it still remains challenging due to deformed shapes and extremely narrow inter-bone regions. In this paper, we present an accu...

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Bibliographic Details
Published in:	Pattern recognition Vol. 46; no. 11; pp. 2969 - 2984
Main Authors:	Cheng, Yuanzhi, Zhou, Shengjun, Wang, Yadong, Guo, Changyong, Bai, Jing, Tamura, Shinichi
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01.11.2013 Elsevier
Subjects:	Applied sciences Artificial intelligence Biological and medical sciences Biomedical materials Bones Boundaries Computer science; control theory; systems Exact sciences and technology Hip joint Investigative techniques, diagnostic techniques (general aspects) Mathematical morphology Medical sciences Osteoarthritis Osteoarticular system. Muscles Pattern recognition. Digital image processing. Computational geometry Radionuclide investigations Segmentation Surgical implants Three dimensional Threshold selection Vertex normal Hip joint Threshold selection Osteoarthritis Mathematical morphology Vertex normal Threshold detection Prosthesis Iterative method Hip Computerized tomography Osteoarticular system Image segmentation Experimental result Orthopedic surgery Tridimensional image Planning Medical application Relief
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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