DeepGRAI (Deep Gray Rating via Artificial Intelligence): Fast, feasible, and clinically relevant thalamic atrophy measurement on clinical quality T2-FLAIR MRI in multiple sclerosis

DeepGRAI (Deep Gray Rating via Artificial Intelligence): Fast, feasible, and clinically relevant thalamic atrophy measurement on clinical quality T2-FLAIR MRI in multiple sclerosis

Background: Thalamic volume loss is a key marker of neurodegeneration in multiple sclerosis (MS). T2-FLAIR MRI is a common denominator in clinical routine MS imaging, but current methods for thalamic volumetry are not applicable to it. Objective: To develop and validate a robust algorithm to measure...

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Bibliographic Details
Main Authors: Michael Dwyer, Cassondra Lyman, Hannah Ferrari, Niels Bergsland, Tom A. Fuchs, Dejan Jakimovski, Ferdinand Schweser, Bianca Weinstock-Guttmann, Ralph H.B. Benedict, Jon Riolo, Diego Silva, Robert Zivadinov
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:NeuroImage: Clinical
Subjects:
Thalamus volume
Thalamic atrophy
Artificial intelligence
Multiple sclerosis
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158221000966

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