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

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