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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.

Data and Resources

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

DOI retrieved: December 16, 2024

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