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DCE-MRI Segmentation and Motion Correction Based on Active Contour Model and Forward Mapping

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5 Author(s)

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<0.05. Simulation and validation experiments for motion correction are working in progress. The detail experimental results were presented at the conference. The paper represents work-in-progress in our effort to build a CAD system for breast DCE-MRI

Published in:

Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2006. SNPD 2006. Seventh ACIS International Conference on

Date of Conference:

19-20 June 2006

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