Affine transformation edited and refined deep neural network for quantitative susceptibility mapping

Affine transformation edited and refined deep neural network for quantitative susceptibility mapping

Deep neural networks have demonstrated great potential in solving dipole inversion for Quantitative Susceptibility Mapping (QSM). However, the performances of most existing deep learning methods drastically degrade with mismatched sequence parameters such as acquisition orientation and spatial resol...

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Bibliographic Details
Main Authors: Zhuang Xiong, Yang Gao, Feng Liu, Hongfu Sun
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:NeuroImage
Subjects:
Quantitative Susceptibility Mapping (QSM)
Deep learning
AFTER-QSM
Oblique orientation
Anisotropic resolution
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922009636

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http://www.sciencedirect.com/science/article/pii/S1053811922009636

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