Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies

Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies

In conventional non-quantitative magnetic resonance imaging, image contrast is consistent within images, but absolute intensity can vary arbitrarily between scans. For quantitative analysis of intensity data, images are typically normalized to a consistent reference. The most convenient reference is...

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Bibliographic Details
Main Authors: Robert A. Brown, Dumitru Fetco, Robert Fratila, Giulia Fadda, Shangge Jiang, Nuha M. Alkhawajah, E. Ann Yeh, Brenda Banwell, Amit Bar-Or, Douglas L. Arnold
Format: Article
Language:English
Published: Elsevier 2020-03-01
Series:NeuroImage
Online Access:http://www.sciencedirect.com/science/article/pii/S105381191931033X

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http://www.sciencedirect.com/science/article/pii/S105381191931033X

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