2016
DOI: 10.1002/mrm.26134
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Magnetization transfer from inhomogeneously broadened lines (ihMT): Improved imaging strategy for spinal cord applications

Abstract: The proposed methodology enabled faster acquisitions, while offering robust ihMT quantification and exquisite SC image quality. This opens great perspectives for widening the in vivo characterization of SC physiopathology using MRI, such as studying white matter tracts microstructure or impairment in degenerative pathologies. Magn Reson Med 77:581-591, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

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Cited by 27 publications
(51 citation statements)
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References 23 publications
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“…Absolute ihMTR values in mouse brain and spinal cord WM measured in this study were approximately 1.5–2 times smaller than those reported in humans at 1.5 T in similar structures . The low resolution used in this study, and the consequential partial volume effects, might have led to underestimated values, thus explaining, at least in part, these differences.…”
Section: Discussioncontrasting
confidence: 67%
“…Absolute ihMTR values in mouse brain and spinal cord WM measured in this study were approximately 1.5–2 times smaller than those reported in humans at 1.5 T in similar structures . The low resolution used in this study, and the consequential partial volume effects, might have led to underestimated values, thus explaining, at least in part, these differences.…”
Section: Discussioncontrasting
confidence: 67%
“…k ‐space apodization was also used (Hamming function) to reduce Gibbs artifacts inside the SC. The whole MT/ihMT processing was performed offline with a semi‐automated processing software developed in MATLAB (MATLAB R2012a, MathWorks, Natick, MA, USA).…”
Section: Methodsmentioning
confidence: 99%
“…This mechanism has been exploited to enhance ihMT signal intensity in a recent preliminary study and subsequently dubbed the boost‐effect. The current study builds on these recent findings with the following aims: to establish a framework to simulate ihMT‐GRE sequences and model ihMT dependence on sequence parameters, to characterize ihMT dependence on the saturation parameters and to optimize the RF energy deposition scheme to achieve the boost‐effect, and to acquire whole brain sensitivity‐boosted ihMT‐GRE images within a clinically compatible scan time at 1.5T.…”
Section: Introductionmentioning
confidence: 99%