TAPAS: A Thresholding Approach for Probability Map Automatic Segmentation in Multiple Sclerosis.

ABSTRACT: Total brain white matter lesion (WML) volume is the most widely established magnetic resonance imaging (MRI) outcome measure in studies of multiple sclerosis (MS). To estimate WML volume, there are a number of automatic segmentation methods available, yet manual delineation remains the gold standard approach. Automatic approaches often yield a probability map to which a threshold is applied to create lesion segmentation masks. Unfortunately, few approaches systematically determine the threshold employed; many methods use a manually selected threshold, thus introducing human error and bias into the automated procedure. In this study, we propose and validate an automatic thresholding algorithm, Thresholding Approach for Probability Map Automatic Segmentation in Multiple Sclerosis (TAPAS), to

SUBMITTER: Valcarcel AM 

PROVIDER: S-EPMC7236059 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature