Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD'06)
DCE-MRI Segmentation and Motion Correction Based on Active Contour Model and Forward Mapping
Las Vegas, Nevada
June 19-June 20
ISBN: 0-7695-2611-X
This paper presents an automatic method to segment and correct motion artifact on Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI). The breast region is segmented from DCE-MRI using mathematical morphology, region growing, and active contour models. The motion artifact presented in the image is then corrected by applying B-Spline curve fitting, active contour model and forward mapping algorithm. Our segmentation method has been tested on 72 DCR-MRI studies from 33 patients. The average segmentation accuracy was 96.76%, and the confidence interval was [95.55%, 97.97%] with p\lt0.05. Simulation and validation experiments for motion correction are working in progress. The detail experimental results will be presented at the conference. The paper represents work-in-progress in our effort to build a CAD system for breast DCE-MRI.
Citation:
Wenzhu Lu, Jianhua Yao, Chao Lu, Sheila Prindiville, Catherine Chow, "DCE-MRI Segmentation and Motion Correction Based on Active Contour Model and Forward Mapping," snpd-sawn, pp.208-212, Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD'06), 2006