Literature DB >> 16969383

When perfusion meets diffusion: in vivo measurement of water permeability in human brain.

Jiongjiong Wang1, María A Fernández-Seara, Sumei Wang, Keith S St Lawrence.   

Abstract

Quantification of water permeability can improve the accuracy of perfusion measurements obtained with arterial spin labeling (ASL) methods, and may provide clinically relevant information regarding the functional status of the microvasculature. The amount of labeled water in the vascular and tissue compartments in an ASL experiment can be estimated based on their distinct diffusion characteristics, and in turn, water permeability determined from the relative vascular and tissue contributions. In the present study, a hybrid magnetic resonance imaging technique was introduced by marrying a continuous ASL method with a twice-refocused spin-echo diffusion sequence. Series of diffusion-weighted ASL signals were acquired with systematically varied b values. The signals were modeled with fast and slow decaying components that were associated with the vascular and tissue compartments, respectively. The relative amount of labeled water in the tissue compartment increased from 61% to 74% and to 86% when the postlabeling delay time was increased from 0.8 to 1.2 and to 1.5 secs. With a b value of 50 secs/mm2, the capillary contribution (fast component) of the ASL signal could be effectively minimized. Using the single-pass approximation model, the water permeability of gray matter in the human brain was estimated based on the derived relative water fractions in the tissue and microvasculature. The potential for in vivo magnetic resonance mapping of water permeability was showed using two diffusion weighted ASL measurements with b=0 and 50 secs/mm2 in both healthy subjects and a case of brain tumor.

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Year:  2006        PMID: 16969383     DOI: 10.1038/sj.jcbfm.9600398

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


  36 in total

1.  Quantification of arterial cerebral blood volume using multiphase-balanced SSFP-based ASL.

Authors:  Lirong Yan; Cheng Li; Emily Kilroy; Felix W Wehrli; Danny J J Wang
Journal:  Magn Reson Med       Date:  2011-11-29       Impact factor: 4.668

Review 2.  Clinical neuroimaging using arterial spin-labeled perfusion magnetic resonance imaging.

Authors:  Ronald L Wolf; John A Detre
Journal:  Neurotherapeutics       Date:  2007-07       Impact factor: 7.620

3.  Variability of renal apparent diffusion coefficients: limitations of the monoexponential model for diffusion quantification.

Authors:  Jeff L Zhang; Eric E Sigmund; Hersh Chandarana; Henry Rusinek; Qun Chen; Pierre-Hugues Vivier; Bachir Taouli; Vivian S Lee
Journal:  Radiology       Date:  2010-01-20       Impact factor: 11.105

4.  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

5.  Magnetic resonance imaging of blood-brain barrier permeability in ischemic stroke using diffusion-weighted arterial spin labeling in rats.

Authors:  Yash V Tiwari; Jianfei Lu; Qiang Shen; Bianca Cerqueira; Timothy Q Duong
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

6.  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

7.  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 8.  On modeling.

Authors:  Dmitry S Novikov; Valerij G Kiselev; Sune N Jespersen
Journal:  Magn Reson Med       Date:  2018-03-01       Impact factor: 4.668

9.  Non-contrast MR imaging of blood-brain barrier permeability to water.

Authors:  Zixuan Lin; Yang Li; Pan Su; Deng Mao; Zhiliang Wei; Jay J Pillai; Abhay Moghekar; Matthias van Osch; Yulin Ge; Hanzhang Lu
Journal:  Magn Reson Med       Date:  2018-03-01       Impact factor: 4.668

Review 10.  Perfusion MRI: the five most frequently asked technical questions.

Authors:  Marco Essig; Mark S Shiroishi; Thanh Binh Nguyen; Marc Saake; James M Provenzale; David Enterline; Nicoletta Anzalone; Arnd Dörfler; Alex Rovira; Max Wintermark; Meng Law
Journal:  AJR Am J Roentgenol       Date:  2013-01       Impact factor: 3.959

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