QSMRim-Net: Imbalance-aware learning for identification of chronic active multiple sclerosis lesions on quantitative susceptibility maps

QSMRim-Net: Imbalance-aware learning for identification of chronic active multiple sclerosis lesions on quantitative susceptibility maps

Background and Purpose: Chronic active multiple sclerosis (MS) lesions are characterized by a paramagnetic rim at the edge of the lesion and are associated with increased disability in patients. Quantitative susceptibility mapping (QSM) is an MRI technique that is sensitive to chronic active lesions...

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Bibliographic Details
Main Authors: Hang Zhang, Thanh D. Nguyen, Jinwei Zhang, Melanie Marcille, Pascal Spincemaille, Yi Wang, Susan A. Gauthier, Elizabeth M. Sweeney
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:NeuroImage: Clinical
Subjects:
Multiple sclerosis
Quantitative susceptibility mapping
Chronic active lesions
Convolutional neural network
Radiomic features
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158222000444

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