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MoDL-QSM: Model-based deep learning for quantitative susceptibility mapping

Quantitative susceptibility mapping (QSM) has demonstrated great potential in quantifying tissue susceptibility in various brain diseases. However, the intrinsic ill-posed inverse problem relating the tissue phase to the underlying susceptibility distribution affects the accuracy for quantifying tis...

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Principais autores: Ruimin Feng, Jiayi Zhao, He Wang, Baofeng Yang, Jie Feng, Yuting Shi, Ming Zhang, Chunlei Liu, Yuyao Zhang, Jie Zhuang, Hongjiang Wei
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2021-10-01
coleção:NeuroImage
Assuntos:
MRI – magnetic resonance imaging
QSM – quantitative susceptibility mapping
Dipole inversion
Model-based deep learning
Deep convolutional neural networks
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S1053811921006522
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