Error quantification in multi-parameter mapping facilitates robust estimation and enhanced group level sensitivity.
Error propagation
Multi-parameter mapping
Quantitative MRI
Robust estimate
Signal-to-noise ratio
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
15 11 2022
15 11 2022
Historique:
received:
29
12
2021
revised:
20
07
2022
accepted:
01
08
2022
pubmed:
5
8
2022
medline:
14
9
2022
entrez:
4
8
2022
Statut:
ppublish
Résumé
Multi-Parameter Mapping (MPM) is a comprehensive quantitative neuroimaging protocol that enables estimation of four physical parameters (longitudinal and effective transverse relaxation rates R
Identifiants
pubmed: 35926761
pii: S1053-8119(22)00644-9
doi: 10.1016/j.neuroimage.2022.119529
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
119529Subventions
Organisme : Medical Research Council
ID : MR/R000050/1
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 203147/Z/16/Z
Pays : United Kingdom
Informations de copyright
Copyright © 2022. Published by Elsevier Inc.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The Max Planck Institute for Human Cognitive and Brain Sciences has an institutional research agreement with Siemens Healthcare. NW holds a patent on acquisition of MRI data during spoiler gradients (US 10,401,453 B2). NW was a speaker at an event organized by Siemens Healthcare and was reimbursed for the travel expenses.