A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis.

ABSTRACT: Here we present a method for the simultaneous segmentation of white matter lesions and normal-appearing neuroanatomical structures from multi-contrast brain MRI scans of multiple sclerosis patients. The method integrates a novel model for white matter lesions into a previously validated generative model for whole-brain segmentation. By using separate models for the shape of anatomical structures and their appearance in MRI, the algorithm can adapt to data acquired with different scanners and imaging protocols without retraining. We validate the method using four disparate datasets, showing robust performance in white matter lesion segmentation while simultaneously segmenting dozens of other brain structures. We further demonstrate that the contrast-adaptive method can also be safely applie

SUBMITTER: Cerri S 

PROVIDER: S-EPMC7856304 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature