Paper
17 March 2006 RANSAC-based EM algorithm for robust detection and segmentation of cylindrical fragments from calibrated C-arm images
Guoyan Zheng, Xiao Dong, Xuan Zhang
Author Affiliations +
Abstract
Automated identification, pose and size estimation of cylindrical fragments from registered C-arm images is highly desirable in various computer-assisted, fluoroscopy-based applications including long bone fracture reduction and intramedullary nailing, where the pose and size of bone fragment need to be accurately estimated for a better treatment. In this paper, a RANSAC-based EM algorithm for robust detection and segmentation of cylindrical fragments from calibrated C-arm images is presented. By detection, we mean that the axes and the radii of the principal fragments will be automatically determined. And by segmentation, we mean that the contour of the fragment projection onto each image plane will be automatically extracted. Benefited from the cylindrical shape of the fragments, we formulate the detection problem as an optimal process for fitting parameterized three-dimensional (3D) cylinder model to images. A RANSAC-based EM algorithm is proposed to find the optimal solution by converting the fragment detection procedure to an iterative closest point (ICP) matching procedure. The outer projection boundary of the estimated cylinder model is then fed to a region-based active contour model to robustly extract the contour of the fragment projection. The proposed algorithm has been successfully applied to real patient data with/without external objects, yielding promising results.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guoyan Zheng, Xiao Dong, and Xuan Zhang "RANSAC-based EM algorithm for robust detection and segmentation of cylindrical fragments from calibrated C-arm images", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614460 (17 March 2006); https://doi.org/10.1117/12.652566
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KEYWORDS
Expectation maximization algorithms

Image segmentation

3D modeling

Detection and tracking algorithms

Calibration

Bone

3D image processing

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