Literature DB >> 21381107

Insight into in vivo magnetization exchange in human white matter regions.

Saeed Kalantari1, Cornelia Laule, Thorarin A Bjarnason, Irene M Vavasour, Alex L MacKay.   

Abstract

Water exchange can play an important role in interpreting compartment-specific magnetic resonance imaging data in brain. For example, an MR method of myelin measurement, known as myelin water fraction imaging, assumes that water exchange processes are slow compared with the measurement time scale. In this article, we examined whether water exchange processes have an effect on myelin water fraction values. A previously established four pool model of white matter was used to simulate the interactions between two aqueous compartments (myelin water and intra/extracellular water) and nonaqueous compartments (myelin and nonmyelin tissues). To extract the water exchange cross relaxation times, the Bloch equations were solved analytically. As the water exchange time scales are dependent on the spin-lattice T(1) relaxation of each of these four pools and due to the current uncertainties regarding the T(1) associated with each pool, exchange cross relaxation times for three different T(1) scenarios were calculated. The corrections that need to be considered in order for myelin water fraction to be an accurate marker for myelin were found to be less than 15%. This work indicates that regional variations in white matter myelin water fraction values are most likely due to variations in myelin content rather than regional differences in exchange rates.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21381107     DOI: 10.1002/mrm.22873

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  17 in total

1.  Probing signal phase in direct visualization of short transverse relaxation time component (ViSTa).

Authors:  Daeun Kim; Hyo Min Lee; Se-Hong Oh; Jongho Lee
Journal:  Magn Reson Med       Date:  2014-08-22       Impact factor: 4.668

2.  Spectral characteristics of semisolid protons in human brain white matter at 7 T.

Authors:  Xu Jiang; Peter van Gelderen; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2017-02-02       Impact factor: 4.668

3.  White matter intercompartmental water exchange rates determined from detailed modeling of the myelin sheath.

Authors:  Peter van Gelderen; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2018-09-19       Impact factor: 4.668

4.  Simulations on the influence of myelin water in diffusion-weighted imaging.

Authors:  K D Harkins; M D Does
Journal:  Phys Med Biol       Date:  2016-06-08       Impact factor: 3.609

5.  Analysis of mcDESPOT- and CPMG-derived parameter estimates for two-component nonexchanging systems.

Authors:  Mustapha Bouhrara; David A Reiter; Hasan Celik; Kenneth W Fishbein; Richard Kijowski; Richard G Spencer
Journal:  Magn Reson Med       Date:  2015-07-03       Impact factor: 4.668

6.  Effects of magnetization transfer on T1 contrast in human brain white matter.

Authors:  Peter van Gelderen; Xu Jiang; Jeff H Duyn
Journal:  Neuroimage       Date:  2015-12-24       Impact factor: 6.556

7.  Characterizing inter-compartmental water exchange in myelinated tissue using relaxation exchange spectroscopy.

Authors:  Richard D Dortch; Kevin D Harkins; Meher R Juttukonda; John C Gore; Mark D Does
Journal:  Magn Reson Med       Date:  2012-12-11       Impact factor: 4.668

8.  Micro-compartment specific T2* relaxation in the brain.

Authors:  Pascal Sati; Peter van Gelderen; Afonso C Silva; Daniel S Reich; Hellmut Merkle; Jacco A de Zwart; Jeff H Duyn
Journal:  Neuroimage       Date:  2013-03-22       Impact factor: 6.556

9.  Rapid measurement of brain macromolecular proton fraction with transient saturation transfer MRI.

Authors:  Peter van Gelderen; Xu Jiang; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2016-06-25       Impact factor: 4.668

10.  B0-field dependence of MRI T1 relaxation in human brain.

Authors:  Yicun Wang; Peter van Gelderen; Jacco A de Zwart; Jeff H Duyn
Journal:  Neuroimage       Date:  2020-03-05       Impact factor: 6.556

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