Optimization of the spatial modulation function of vessel-encoded pseudo-continuous arterial spin labeling and its application to dynamic angiography.
Adult
Algorithms
Arteries
/ diagnostic imaging
Blood Flow Velocity
Brain
/ diagnostic imaging
Cerebrovascular Circulation
Computer Simulation
Contrast Media
Female
Healthy Volunteers
Humans
Image Interpretation, Computer-Assisted
/ methods
Image Processing, Computer-Assisted
Imaging, Three-Dimensional
/ methods
Magnetic Resonance Angiography
Male
Middle Aged
Motion
Risk
Signal-To-Noise Ratio
Spin Labels
ASL-based 4D-MRA
vessel selective labeling
vessel-encoded pCASL
Journal
Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245
Informations de publication
Date de publication:
01 2019
01 2019
Historique:
received:
23
02
2018
revised:
09
05
2018
accepted:
01
06
2018
pubmed:
20
9
2018
medline:
31
12
2019
entrez:
20
9
2018
Statut:
ppublish
Résumé
In vessel-encoded pseudo-continuous arterial spin labeling (ve-pCASL), vessel-selective labeling is achieved by modulation of the inversion efficiency across space. However, the spatial transition between the labeling and control conditions is rather gradual, which can cause partial labeling of vessels, reducing SNR-efficiency and necessitating complex postprocessing to decode the vessel-selective signals. The purpose of this study is to optimize the pCASL labeling parameters to obtain a sharper spatial inversion profile of the labeling and thereby minimizing the risk of partial labeling of untargeted arteries. Bloch simulations were performed to investigate how the inversion profile was influenced by the pCASL labeling parameters: the maximum (G When using unipolar gradient, lower G The shape of the ve-pCASL inversion profile can be optimized by changing G
Identifiants
pubmed: 30230589
doi: 10.1002/mrm.27418
pmc: PMC7100033
mid: EMS86075
doi:
Substances chimiques
Contrast Media
0
Spin Labels
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
410-423Subventions
Organisme : Wellcome Trust
ID : 203139/Z/16/Z
Pays : United Kingdom
Organisme : Horizon 2020 - European Commission
ID : project: CDS-QUAMRI
Pays : International
Organisme : National Science Foundation and Wellcome Trust
ID : 203139/Z/16/Z
Pays : International
Organisme : UK Royal Academy of Engineering
ID : RF/132
Pays : International
Organisme : Royal Academy of Engineering
ID : RF/132
Pays : International
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 203139
Pays : United Kingdom
Informations de copyright
© 2018 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine.
Références
Magn Reson Med. 2005 Jan;53(1):15-21
pubmed: 15690497
J Magn Reson B. 1994 May;104(1):1-10
pubmed: 8025810
J Magn Reson Imaging. 2016 Oct;44(4):834-45
pubmed: 26970348
Magn Reson Med. 2006 Sep;56(3):671-5
pubmed: 16902980
Magn Reson Med. 2018 Jan;79(1):224-233
pubmed: 28321915
Stroke. 2008 Jun;39(6):1894-7
pubmed: 18403739
Magn Reson Med. 2009 Feb;61(2):249-54
pubmed: 19165880
Magn Reson Med. 2007 Dec;58(6):1086-91
pubmed: 17969084
Magn Reson Med. 2006 Nov;56(5):1140-4
pubmed: 16986112
Magn Reson Med. 2015 Nov;74(5):1248-56
pubmed: 25351616
Stroke. 2004 Apr;35(4):882-7
pubmed: 14988567
Eur J Radiol. 2015 Sep;84(9):1758-67
pubmed: 26113163
MAGMA. 2012 Apr;25(2):95-101
pubmed: 22231782
NMR Biomed. 2016 Jun;29(6):776-86
pubmed: 27074149
J Cereb Blood Flow Metab. 2013 Nov;33(11):1716-24
pubmed: 23921895
Magn Reson Med. 2010 Aug;64(2):430-8
pubmed: 20665787
Med Image Anal. 2012 May;16(4):831-9
pubmed: 22322066