A temporal multiscale approach for MR Fingerprinting

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.

arXiv comment4 pages, 3 figures. Title revised

References in corpus (3)

• Low Rank Alternating Direction Method of Multipliers Reconstruction for MR Fingerprinting
• Fast quantitative MRI as a nonlinear tomography problem
• Cover Tree Compressed Sensing for Fast MR Fingerprint Recovery