Automatic extraction of femur contours from calibrated fluoroscopic images

Dong, Xiao; Gonzalez Ballester, Miguel Angel; Zheng, Guoyan (2007). Automatic extraction of femur contours from calibrated fluoroscopic images. In: IEEE Workshop on Applications of Computer Vision, 2007. WACV '07 (p. 55). IEEE 10.1109/WACV.2007.15

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Automatic identification and extraction of bone contours from X-ray images is an essential first step task for further medical image analysis. In this paper we propose a 3D statistical model based framework for the proximal femur contour extraction from calibrated X-ray images. The automatic initialization is solved by an estimation of Bayesian network algorithm to fit a multiple component geometrical model to the X-ray data. The contour extraction is accomplished by a non-rigid 2D/3D registration between a 3D statistical model and the X-ray images, in which bone contours are extracted by a graphical model based Bayesian inference. Preliminary experiments on clinical data sets verified its validity

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB

UniBE Contributor:

Dong, Xiao; Gonzalez Ballester, Miguel Angel and Zheng, Guoyan

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISBN:

0-7695-2794-9

Publisher:

IEEE

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:57

Last Modified:

08 Jun 2016 10:43

Publisher DOI:

10.1109/WACV.2007.15

BORIS DOI:

10.7892/boris.24171

URI:

https://boris.unibe.ch/id/eprint/24171 (FactScience: 47394)

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