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

Abstract

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