3D MRI of whole-brain water permeability with intrinsic diffusivity encoding of arterial labeled spin (IDEALS).
Adolescent
Adult
Blood-Brain Barrier
/ diagnostic imaging
Body Water
/ diagnostic imaging
Caffeine
/ pharmacology
Capillary Permeability
Central Nervous System Stimulants
/ pharmacology
Cerebrovascular Circulation
/ drug effects
Female
Gray Matter
/ diagnostic imaging
Humans
Magnetic Resonance Imaging
/ methods
Male
Middle Aged
Neuroimaging
/ methods
Permeability
Sensitivity and Specificity
Sex Factors
Spin Labels
White Matter
/ diagnostic imaging
Young Adult
Arterial spin labeling
BBB water permeability surface area product
Blood-brain barrier (BBB) water extraction fraction
Deconvolution
Point spread function
Segmented 3D-GRASE
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
01 04 2019
01 04 2019
Historique:
received:
10
10
2018
revised:
11
01
2019
accepted:
13
01
2019
pubmed:
27
1
2019
medline:
24
1
2020
entrez:
26
1
2019
Statut:
ppublish
Résumé
This work proposes a novel MRI method - Intrinsic Diffusivity Encoding of Arterial Labeled Spin (IDEALS) - for the whole-brain mapping of water permeability in the human brain without an exogenous contrast agent. Quantitative separation of the intravascular and extravascular labeled water MRI signal was achieved in arterial spin labeling experiments with segmented 3D-GRASE acquisition by modulating the relative sensitivity between relaxation, true diffusion, and pseudodiffusion. The intrinsic diffusivity encoding in k-space created different broadening of the image-domain point spread functions for intravascular and extravascular labeled spins, from which blood-brain barrier (BBB) water extraction fraction (E
Identifiants
pubmed: 30682535
pii: S1053-8119(19)30035-7
doi: 10.1016/j.neuroimage.2019.01.035
pii:
doi:
Substances chimiques
Central Nervous System Stimulants
0
Spin Labels
0
Caffeine
3G6A5W338E
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
401-414Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.