Automatic extraction of proximal femur contours from calibrated X-ray images: a Bayesian inference approach
by Xiao Dong, Guoyan Zheng
International Journal of Functional Informatics and Personalised Medicine (IJFIPM), Vol. 2, No. 2, 2009

Abstract: 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 initialisation 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 X-ray images and the statistical model, in which bone contours are extracted by a graphical-model-based Bayesian inference. Experiments on clinical data set verified its robustness against occlusion.

Online publication date: Sun, 02-Aug-2009

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