Quantitative susceptibility mapping using multi-channel convolutional neural networks with dipole-adaptive multi-frequency inputs

Quantitative susceptibility mapping using multi-channel convolutional neural networks with dipole-adaptive multi-frequency inputs

Quantitative susceptibility mapping (QSM) quantifies the distribution of magnetic susceptibility and shows great potential in assessing tissue contents such as iron, myelin, and calcium in numerous brain diseases. The accuracy of QSM reconstruction was challenged by an ill-posed field-to-susceptibil...

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Bibliographic Details
Main Authors:	Wenbin Si, Yihao Guo, Qianqian Zhang, Jinwei Zhang, Yi Wang, Yanqiu Feng
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-06-01
Series:	Frontiers in Neuroscience
Subjects:	quantitative susceptibility mapping magnetic resonance imaging deep learning convolutional neural networks image processing
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2023.1165446/full

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