Abstract:Background Susceptibility-weighted imaging (SWI) is efficient in detecting multiple sclerosis (MS) plaques and evaluating the level of disease activity. Purpose To automatically detect active and inactive MS plaques in SWI images using a Bayesian approach. Material and Methods A 1.5-T scanner was used to evaluate 147 patients with MS. The area of the plaques along with their active or inactive status were automatically identified using a Bayesian approach. Plaques were given an orange color if they were active… Show more
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