On the influence of two coexisting species of susceptibility-producing structures on the R
Magnetic susceptibility
Microstructure
Relaxation rate
Relaxation time
Static dephasing regime
Journal
Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883
Informations de publication
Date de publication:
09 2020
09 2020
Historique:
received:
28
02
2020
revised:
06
05
2020
accepted:
09
06
2020
pubmed:
14
6
2020
medline:
30
1
2021
entrez:
14
6
2020
Statut:
ppublish
Résumé
Tissue microstructure can influence quantitative magnetic resonance imaging such as relaxation rate measurements. Consequently, relaxation rate mapping can provide useful information on tissue microstructure. In this work, the theory on relaxation mechanisms of the change of the relaxation rate ∆R The influence of coexisting spherical perturbers with magnetic susceptibilitys of different signs was evaluated in Monte Carlo simulations including diffusion effects in the surrounding medium. Simulations were compared with relaxometry measurements at 1.5 Tesla and at 3 Tesla. The phantoms used to validate the simulations were built from agarose gel containing calcium carbonate and tungsten carbide particles of different size and concentration. The Monte Carlo simulations showed, that the change in relaxation rate only depends on the overall amount of susceptibility producing structures in the simulation volume and no difference was found, if mixtures of positive and negative particles were simulated. Phantom measurements within the static dephasing regime showed linear additivity of the effects from positive and negative susceptibility sources that were present within the same voxel. In summary, both the simulations and the phantom measurements showed that changes in the relaxation rate ΔR
Identifiants
pubmed: 32534068
pii: S0730-725X(20)30068-0
doi: 10.1016/j.mri.2020.06.006
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
170-177Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.