Literature DB >> 22940589

Quantitative magnetization transfer imaging of human brain at 7 T.

Richard D Dortch1, Jay Moore, Ke Li, Marcin Jankiewicz, Daniel F Gochberg, Jane A Hirtle, John C Gore, Seth A Smith.   

Abstract

Quantitative magnetization transfer (qMT) imaging yields indices describing the interactions between free water protons and immobile macromolecular protons. These indices include the macromolecular to free pool size ratio (PSR), which has been shown to be correlated with myelin content in white matter. Because of the long scan times required for whole-brain imaging (≈20-30 min), qMT studies of the human brain have not found widespread application. Herein, we investigated whether the increased signal-to-noise ratio available at 7.0 T could be used to reduce qMT scan times. More specifically, we developed a selective inversion recovery (SIR) qMT imaging protocol with a i) novel transmit radiofrequency (B(1)(+)) and static field (B(0)) insensitive inversion pulse, ii) turbo field-echo readout, and iii) reduced TR. In vivo qMT data were obtained in the brains of healthy volunteers at 7.0 T using the resulting protocol (scan time≈40 s/slice, resolution=2 × 2 × 3 mm(3)). Reliability was also assessed in repeated acquisitions. The results of this study demonstrate that SIR qMT imaging can be reliably performed within the radiofrequency power restrictions present at 7.0 T, even in the presence of large B(1)(+) and B(0) inhomogeneities. Consistent with qMT studies at lower field strengths, the observed PSR values were higher in white matter (mean±SD=17.6 ± 1.3%) relative to gray matter (10.3 ± 1.6%) at 7.0 T. In addition, regional variations in PSR were observed in white matter. Together, these results suggest that qMT measurements are feasible at 7.0 T and may eventually allow for the high-resolution assessment of changes in composition throughout the normal and diseased human brain in vivo.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22940589      PMCID: PMC3625658          DOI: 10.1016/j.neuroimage.2012.08.047

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  49 in total

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Journal:  Magn Reson Med       Date:  1993-06       Impact factor: 4.668

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Authors:  Vasily L Yarnykh; Chun Yuan
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Authors:  S H Koenig
Journal:  Magn Reson Med       Date:  1991-08       Impact factor: 4.668

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  27 in total

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Authors:  Ke Li; Richard D Dortch; Susan F Kroop; Joseph W Huston; Daniel F Gochberg; Jane H Park; Bruce M Damon
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3.  Quantitative magnetization transfer imaging of the human locus coeruleus.

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4.  Visualization of intra-thalamic nuclei with optimized white-matter-nulled MPRAGE at 7T.

Authors:  Thomas Tourdias; Manojkumar Saranathan; Ives R Levesque; Jason Su; Brian K Rutt
Journal:  Neuroimage       Date:  2013-09-07       Impact factor: 6.556

5.  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

Review 6.  Inferring brain tissue composition and microstructure via MR relaxometry.

Authors:  Mark D Does
Journal:  Neuroimage       Date:  2018-01-02       Impact factor: 6.556

Review 7.  Studying brain microstructure with magnetic susceptibility contrast at high-field.

Authors:  Jeff H Duyn
Journal:  Neuroimage       Date:  2017-02-24       Impact factor: 6.556

8.  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

9.  Multi-parametric MRI characterization of healthy human thigh muscles at 3.0 T - relaxation, magnetization transfer, fat/water, and diffusion tensor imaging.

Authors:  Ke Li; Richard D Dortch; E Brian Welch; Nathan D Bryant; Amanda K W Buck; Theodore F Towse; Daniel F Gochberg; Mark D Does; Bruce M Damon; Jane H Park
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10.  Quantitative magnetization transfer imaging of rodent glioma using selective inversion recovery.

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