msQSM: Morphology-based Self-supervised Deep Learning for Quantitative Susceptibility Mapping

msQSM: Morphology-based Self-supervised Deep Learning for Quantitative Susceptibility Mapping
Neuroimage. 2023 May 21:120181. doi: 10.1016/j.neuroimage.2023.120181. Online ahead of print.ABSTRACTQuantitative susceptibility mapping (QSM) has been applied to the measurement of iron deposition and the auxiliary diagnosis of neurodegenerative disease. There still exists a dipole inversion problem in QSM reconstruction. Recently, deep learning approaches have been proposed to resolve this problem. However, most of these approaches are supervised methods that need ... read more
Source: PubMedPublished on 2023-05-23By Junjie He

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