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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Vydáno v:	Pattern recognition Ročník 46; číslo 11; s. 2969 - 2984
Hlavní autoři:	Cheng, Yuanzhi, Zhou, Shengjun, Wang, Yadong, Guo, Changyong, Bai, Jing, Tamura, Shinichi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Kidlington Elsevier Ltd 01.11.2013 Elsevier
Témata:	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
On-line přístup:	Získat plný text
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