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Automated Detection and Segmentation of Diaphyseal Bone Fragments From Registered C-Arm Images for Long Bone Fracture Reduction

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4 Author(s)
Guoyan Zheng ; MEM Res Center, Bern Univ. ; Xiao Dong ; Xuan Zhang ; Nolte, L.-P.

Automated identification, pose and size estimation, and contour extraction of diaphyseal bone fragments can greatly improve the usability of a computer-assisted fluoroscopy-based navigation system for long bone fracture reduction. In this paper, a two step solution is proposed. The pose and size of a diaphyseal fragment are estimated through 3D morphable object fitting using a parametric cylinder model. The result of fragment identification is then fed to a region information based active contour model to extract the fragment contour. Experimental results show a promising accuracy and robustness of the proposed approach

Published in:

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Date of Conference:

17-18 Jan. 2006