Automated Detection, Segmentation, and Longitudinal Tracking of Active MS Lesions Via Subtraction MRI

Keywords

active activity agreement allowing analyzed appearing arrows artifacts assessment automated binary biological blue bottom brain called changing chronological classification combined consecutive consistent context contrast dataset datasets days delineate delineated density derived detail detect detecting detection developed diagnostic disease distinguished duration dynamics efficacy enables enhanced enhancing evolving existing expanding expansion fashion flair generate geometric green health identified improves indicate individual individuals input institutes intensity interval joining least lesion lesions load longitudinal maintain manually mask masks measures median medical monitoring national newly noise normalized object overlapped pairwise patients predictive preserved previous previously procedure processes processing progression propose proton radiology randomly recent registration robust sample scale scanner scheme science sclerosis segmentation segmentations segmented segmenting selected sensitive sensitivity sentinel shrinking specificity studies subjects subtracting subtraction third thresholding tissue tool toolkit track tracking treatment trials unfeasible validate visual visualization visually volumes white wood years