Automatic Extraction of Femur Contours from Calibrated X-Ray Images using Statistical Information

— 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 to align the 3D model with the x-ray images is solved by an Estimation of Bayesian Network Algorithm to fit a simplified multiple component geometrical model of the proximal femur to the x-ray data. Landmarks can be extracted from the geometrical model for the initialization of the 3D statistical model. The contour extraction is then accomplished by a joint registration and segmentation procedure. We iteratively updates the extracted bone contours and an instanced 3D model to fit the x-ray images. Taking the projected silhouettes of the instanced 3D model on the registered x-ray images as templates, bone contours can be extracted by a graphical model based Bayesian inference...

• Type: Journal
• Year: 2007
• Where: JMM2
• Authors: Xiao Dong, Miguel Ángel González Ballester, Guoyan Zheng
• Keywords: 3D Model, JMM2 2007, Model, X-Ray Images