Multi-site repeatability and reproducibility of MR fingerprinting of the healthy brain at 1.5 and 3.0 T.


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
15 07 2019
Historique:
received: 13 09 2018
revised: 08 03 2019
accepted: 20 03 2019
pubmed: 30 3 2019
medline: 21 12 2019
entrez: 30 3 2019
Statut: ppublish

Résumé

Fully-quantitative MR imaging methods are useful for longitudinal characterization of disease and assessment of treatment efficacy. However, current quantitative MRI protocols have not been widely adopted in the clinic, mostly due to lengthy scan times. Magnetic Resonance Fingerprinting (MRF) is a new technique that can reconstruct multiple parametric maps from a single fast acquisition in the transient state of the MR signal. Due to the relative novelty of this technique, the repeatability and reproducibility of quantitative measurements obtained using MRF has not been extensively studied. Our study acquired test/retest data from the brains of nine healthy volunteers, each scanned on five MRI systems (two at 3.0 T and three at 1.5 T, all from a single vendor) located at two different centers. The pulse sequence and reconstruction algorithm were the same for all acquisitions. After registration of the MRF-derived M

Identifiants

pubmed: 30923028
pii: S1053-8119(19)30239-3
doi: 10.1016/j.neuroimage.2019.03.047
pii:
doi:

Types de publication

Journal Article Multicenter Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

362-372

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Guido Buonincontri (G)

IMAGO7 Foundation, Pisa, Italy; IRCCS Fondazione Stella Maris, Pisa, Italy.

Laura Biagi (L)

IMAGO7 Foundation, Pisa, Italy; IRCCS Fondazione Stella Maris, Pisa, Italy.

Alessandra Retico (A)

National Institute for Nuclear Physics, Pisa, Italy.

Paolo Cecchi (P)

Department of Radiology, University of Pisa, Italy.

Mirco Cosottini (M)

Department of Radiology, University of Pisa, Italy.

Ferdia A Gallagher (FA)

Department of Radiology, University of Cambridge, United Kingdom.

Pedro A Gómez (PA)

Munich School of Bioengineering, Technical University of Munich, Germany.

Martin J Graves (MJ)

Department of Radiology, University of Cambridge, United Kingdom.

Mary A McLean (MA)

Cancer Research UK Cambridge Institute, University of Cambridge, United Kingdom.

Frank Riemer (F)

Department of Radiology, University of Cambridge, United Kingdom.

Rolf F Schulte (RF)

GE Healthcare, Munich, Germany.

Michela Tosetti (M)

IMAGO7 Foundation, Pisa, Italy; IRCCS Fondazione Stella Maris, Pisa, Italy. Electronic address: michela.tosetti@fsm.unipi.it.

Fulvio Zaccagna (F)

Department of Radiology, University of Cambridge, United Kingdom.

Joshua D Kaggie (JD)

Department of Radiology, University of Cambridge, United Kingdom.

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Classifications MeSH