AUTOMATIC EXTRACTION OF FEMUR CONTOURS FROM CALIBRATED X-RAY IMAGES: A BAYESIAN INFERENCE APPROACH

Dong, Xiao; Zheng, Guoyan (2008). AUTOMATIC EXTRACTION OF FEMUR CONTOURS FROM CALIBRATED X-RAY IMAGES: A BAYESIAN INFERENCE APPROACH. In: 2008 5th IEEE International Symposium on Biomedical Imaging (ISBI 2008) (pp. 57-60). IEEE 10.1109/ISBI.2008.4540931

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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. This paper proposed a 3D statistical model based framework for the proximal femur bone contour extraction from calibrated x-ray images. The initialization to align the statistical model is solved by a particle filter on a dynamic Bayesian network to fit a multiple component geometrical model to the x-ray images. The contour extraction is accomplished by a non-rigid 2D/3D registration between the 3D statistical model and the x-ray images, in which bone contours are extracted by a graphical model based Bayesian inference. Experiments on clinical data set verified its robustness against occlusion.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

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

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Dong, Xiao and Zheng, Guoyan

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health
600 Technology > 620 Engineering

ISBN:

978-1-4244-2002-5

Publisher:

IEEE

Language:

English

Submitter:

Guoyan Zheng

Date Deposited:

14 Jul 2017 14:10

Last Modified:

14 Jul 2017 14:10

Publisher DOI:

10.1109/ISBI.2008.4540931

BORIS DOI:

10.7892/boris.82249

URI:

https://boris.unibe.ch/id/eprint/82249

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