Literature DB >> 19654586

Characterizing the origin of the arterial spin labelling signal in MRI using a multiecho acquisition approach.

Jack A Wells1, Mark F Lythgoe, Mankin Choy, David G Gadian, Roger J Ordidge, David L Thomas.   

Abstract

Arterial spin labelling (ASL) can noninvasively isolate the MR signal from arterial blood water that has flowed into the brain. In gray matter, the labelled bolus is dispersed within three main compartments during image acquisition: the intravascular compartment; intracellular tissue space; and the extracellular tissue space. Changes in the relative volumes of the extracellular and intracellular tissue space are thought to occur in many pathologic conditions such as stroke and brain tumors. Accurate measurement of the distribution of the ASL signal within these three compartments will yield better understanding of the time course of blood delivery and exchange, and may have particular application in animal models of disease to investigate the relationship between the source of the ASL signal and pathology. In this study, we sample the transverse relaxation of the ASL perfusion weighted and control images acquired with and without vascular crusher gradients at a range of postlabelling delays and tagging durations, to estimate the tricompartmental distribution of labelled water in the rat cortex. Our results provide evidence for rapid exchange of labelled blood water into the intracellular space relative to the transit time through the vascular bed, and provide a more solid foundation for cerebral blood flow quantification using ASL techniques.

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Year:  2009        PMID: 19654586     DOI: 10.1038/jcbfm.2009.99

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  11 in total

1.  Venous oxygenation mapping using velocity-selective excitation and arterial nulling.

Authors:  Jia Guo; Eric C Wong
Journal:  Magn Reson Med       Date:  2012-01-31       Impact factor: 4.668

2.  Comparison of arterial transit times estimated using arterial spin labeling.

Authors:  Yufen Chen; Danny J J Wang; John A Detre
Journal:  MAGMA       Date:  2011-08-24       Impact factor: 2.310

3.  Measuring biexponential transverse relaxation of the ASL signal at 9.4 T to estimate arterial oxygen saturation and the time of exchange of labeled blood water into cortical brain tissue.

Authors:  Jack A Wells; Bernard Siow; Mark F Lythgoe; David L Thomas
Journal:  J Cereb Blood Flow Metab       Date:  2012-11-21       Impact factor: 6.200

4.  MRI of cerebral micro-vascular flow patterns: A multi-direction diffusion-weighted ASL approach.

Authors:  J A Wells; D L Thomas; T Saga; J Kershaw; I Aoki
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

Review 5.  Arterial spin labeling for the measurement of cerebral perfusion and angiography.

Authors:  Peter Jezzard; Michael A Chappell; Thomas W Okell
Journal:  J Cereb Blood Flow Metab       Date:  2017-11-23       Impact factor: 6.200

6.  Transmembrane dynamics of water exchange in human brain.

Authors:  Xiang He; Marcus E Raichle; Dmitriy A Yablonskiy
Journal:  Magn Reson Med       Date:  2011-08-29       Impact factor: 4.668

7.  T2-based arterial spin labeling measurements of blood to tissue water transfer in human brain.

Authors:  Johannes Gregori; Norbert Schuff; Rolf Kern; Matthias Günther
Journal:  J Magn Reson Imaging       Date:  2012-09-27       Impact factor: 4.813

8.  Calibration and validation of TRUST MRI for the estimation of cerebral blood oxygenation.

Authors:  Hanzhang Lu; Feng Xu; Ksenija Grgac; Peiying Liu; Qin Qin; Peter van Zijl
Journal:  Magn Reson Med       Date:  2011-05-16       Impact factor: 4.668

9.  Determination of spin compartment in arterial spin labeling MRI.

Authors:  Peiying Liu; Jinsoo Uh; Hanzhang Lu
Journal:  Magn Reson Med       Date:  2011-01       Impact factor: 4.668

10.  Increased blood-brain barrier permeability to water in the aging brain detected using noninvasive multi-TE ASL MRI.

Authors:  Yolanda Ohene; Ian F Harrison; Phoebe G Evans; David L Thomas; Mark F Lythgoe; Jack A Wells
Journal:  Magn Reson Med       Date:  2020-09-10       Impact factor: 3.737

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