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DCE-MRI Segmentation and Motion Correction Based on Active Contour Model and Forward Mapping
Las Vegas, Nevada June 19-June 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SNPD-SAWN.2006.29Seventh ACIS International Conference ...
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Wenzhu Lu, Towson University, MD
Jianhua Yao, National Institutes of Health
Chao Lu, Towson University, MD
Sheila Prindiville, National Institutes of Health
Catherine Chow, National Institutes of Health
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
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