A temporal multiscale approach for MR Fingerprinting

Samuel Cortinhas, Mohammad Golbabaee, Matthias J. Ehrhardt

Research output: Working paper / PreprintPreprint

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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.
Original languageEnglish
DOIs
Publication statusPublished - 30 Mar 2021

Publication series

NamearXiv

Bibliographical note

4 pages, 3 figures. Title revised

Keywords

  • math.OC

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