Time efficiency analysis for undersampled quantitative MRI acquisitions.
Discrepancy
Model-based reconstruction
Quantitative MRI
Time efficiency
Undersampling pattern
Journal
Medical image analysis
ISSN: 1361-8423
Titre abrégé: Med Image Anal
Pays: Netherlands
ID NLM: 9713490
Informations de publication
Date de publication:
05 2022
05 2022
Historique:
received:
26
05
2021
revised:
12
11
2021
accepted:
10
02
2022
pubmed:
27
2
2022
medline:
22
4
2022
entrez:
26
2
2022
Statut:
ppublish
Résumé
To realize Quantitative MRI (QMRI) with clinically acceptable scan time, acceleration factors achieved by conventional parallel imaging techniques are often inadequate. Further acceleration is possible using model-based reconstruction. We propose a theoretical metric called TEUSQA: Time Efficiency for UnderSampled QMRI Acquisitions to inform sequence design and sample pattern optimisation. TEUSQA is designed for a particular class of reconstruction techniques that directly estimate tissue parameters, possibly using prior information to regularize the estimation. TEUSQA can be used to evaluate undersampling patterns for multi-contrast QMRI sequences targeting any tissue parameter. To verify the time efficiency predicted by TEUSQA, we performed Monte Carlo simulations and an accelerated parameter mapping with two sequences (Inversion prepared fast spin echo for T
Identifiants
pubmed: 35217453
pii: S1361-8415(22)00042-1
doi: 10.1016/j.media.2022.102390
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
102390Informations de copyright
Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.