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

doi:doi:10.57702/04nqrb95

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.

BibTex:

@dataset{Ruimin_Feng_and_Jiayi_Zhao_and_He_Wang_and_Baofeng_Yang_and_Jie_Feng_and_Yuting_Shi_and_Ming_Zhang_and_Chunlei_Liu_and_Yuyao_Zhang_and_Jie_Zhuang_and_Hongjiang_Wei_2024,
    abstract = {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.},
    author = {Ruimin Feng and Jiayi Zhao and He Wang and Baofeng Yang and Jie Feng and Yuting Shi and Ming Zhang and Chunlei Liu and Yuyao Zhang and Jie Zhuang and Hongjiang Wei},
    doi = {10.57702/04nqrb95},
    institution = {No Organization},
    keyword = {'Brain Diseases', 'QSM', 'Quantitative Susceptibility Mapping'},
    month = {dec},
    publisher = {TIB},
    title = {MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibility},
    url = {https://service.tib.eu/ldmservice/dataset/modl-qsm--model-based-deep-learning-for-quantitative-susceptibility},
    year = {2024}
}