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MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibility

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 tissue susceptibility.

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Cite this as

Ruimin Feng, Jiayi Zhao, He Wang, Baofeng Yang, Jie Feng, Yuting Shi, Ming Zhang, Chunlei Liu, Yuyao Zhang, Jie Zhuang, Hongjiang Wei (2024). Dataset: MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibility. https://doi.org/10.57702/04nqrb95

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Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2101.08413
Author Ruimin Feng
More Authors
Jiayi Zhao
He Wang
Baofeng Yang
Jie Feng
Yuting Shi
Ming Zhang
Chunlei Liu
Yuyao Zhang
Jie Zhuang
Hongjiang Wei
Homepage https://github.com/Ruimin-Feng/MoDL-QSM