QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field

QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field

Quantitative susceptibility mapping (QSM) is a powerful MRI technique that has shown great potential in quantifying tissue susceptibility in numerous neurological disorders. However, the intrinsic ill-posed dipole inversion problem greatly affects the accuracy of the susceptibility map. We propose Q...

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Bibliographic Details
Main Authors: Yicheng Chen, Angela Jakary, Sivakami Avadiappan, Christopher P. Hess, Janine M. Lupo
Format: Article
Language:English
Published: Elsevier 2020-02-01
Series:NeuroImage
Subjects:
Magnetic resonance imaging
Quantitative susceptibility mapping
Dipole field inversion
Deep convolutional neural networks
Generative adversarial networks
Cerebral microbleeds
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811919309802

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http://www.sciencedirect.com/science/article/pii/S1053811919309802

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