Automatic extraction of proximal femur contours from calibrated X-ray images: a Bayesian inference approach. (3rd August 2009)

• Record Type: Journal Article
• Authors: Dong, Xiao; Zheng, Guoyan
• Is Part Of: International journal of functional informatics and personalised medicine. Volume 2:Number 2(2009)
• Page Start: 231
• Page End: 240
• Publication Date: 2009-08-03
• Subjects: contour extraction -- statistical modelling -- Bayesian networks -- 2D?3D registration -- segmentation -- calibrated X-ray images -- proximal femur contours -- bone contours -- medical image analysis -- occlusion; Biomedical engineering -- Periodicals; Bioinformatics -- Periodicals; 610.28
• Languages: English
• ISSNs: 1756-2104

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.