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- W4287645374 abstract "Quantitative MRI (qMRI) is becoming increasingly important for research and clinical applications, however, state-of-the-art reconstruction methods for qMRI are computationally prohibitive. We propose a temporal multiscale approach to reduce computation times in qMRI. Instead of computing exact gradients of the qMRI likelihood, we propose a novel approximation relying on the temporal smoothness of the data. These gradients are then used in a coarse-to-fine (C2F) approach, for example using coordinate descent. The C2F approach was also found to improve the accuracy of solutions, compared to similar methods where no multiscaling was used." @default.
- W4287645374 created "2022-07-25" @default.
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- W4287645374 date "2020-10-07" @default.
- W4287645374 modified "2023-10-17" @default.
- W4287645374 title "A temporal multiscale approach for MR Fingerprinting" @default.
- W4287645374 doi "https://doi.org/10.48550/arxiv.2010.03386" @default.
- W4287645374 hasPublicationYear "2020" @default.
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