Title :
Active Contour Model with Shape Constraints for Bone Fracture Detection
Author :
Jia, Y. ; Jiang, Y.
Author_Institution :
Dept. of Comput. Sci., Ryerson Univ., Toronto, Ont.
Abstract :
This paper presents a segmentation method that outlines fractured bones in an X-ray image of a patient´s arm within casting materials, and displays the alignment between the fractured bones. This segmentation task is often difficult because the casting materials cause a low contrast and high noise ratio in the X-ray images. A geodesic active contour model with global constraints is applied to this task. A prior shape is collected and used as a global constraint of our model. A maximum-likelihood function is derived to provide feedback for each evolving process. Experimental results show that the method produces the outlines of the fractured bones on the low contrast X-ray images robustly and accurately
Keywords :
X-ray imaging; bone; computer vision; image segmentation; maximum likelihood detection; medical image processing; X-ray image segmentation; bone fracture detection; casting material; geodesic active contour model; maximum-likelihood function; shape constraint; Active contours; Active shape model; Bones; Casting; Displays; Image segmentation; Maximum likelihood detection; Noise shaping; Signal to noise ratio; X-ray imaging;
Conference_Titel :
Computer Graphics, Imaging and Visualisation, 2006 International Conference on
Conference_Location :
Sydney, Qld.
Print_ISBN :
0-7695-2606-3
DOI :
10.1109/CGIV.2006.16