Literature DB >> 27416957

Field inhomogeneity correction for gradient echo myelin water fraction imaging.

Eva Alonso-Ortiz1,2, Ives R Levesque1,3,4, Raphaël Paquin5, G Bruce Pike1,2,6.   

Abstract

PURPOSE: Recently, the multi-echo gradient echo (MGRE) sequence has been proposed for multicomponent T2* (MC T2*) based myelin water fraction (MWF) mapping. This approach has appeal because it can provide fast whole-brain coverage, has low specific absorption rate, and short echo spacing. However, the MGRE signal requires correction for accurate MWF mapping, because of its sensitivity to magnetic field inhomogeneities (ΔB0 ). We propose a ΔB0 correction method for 2D MGRE data obtained for MWF mapping. THEORY AND METHODS: Latter-echo MGRE data were fit to estimate B0 gradients in the slice-select direction ( Gz). The decay signal was corrected for the effects of Gz, and MC T2* analysis was performed using nonnegative least-squares fitting. The method was evaluated using simulations and its performance demonstrated in healthy volunteers.
RESULTS: Simulations showed that MWFs are significantly biased in the presence of Gz and that our correction method leads to accurate MWF estimates. In vivo MWF maps obtained from corrected data showed recovery of MWF estimates in areas of high ΔB0, and overall good agreement with literature values obtained with the reference MC T2-based method.
CONCLUSION: A new algorithm was presented for ΔB0 correction of 2D MGRE echo data acquired for MWF imaging. Simulations and in vivo data showed an improvement in MWF estimates. Magn Reson Med 78:49-57, 2017.
© 2016 International Society for Magnetic Resonance in Medicine. © 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  field inhomogeneities; gradient echo imaging; multicomponent zzm321990T2*; myelin water

Mesh:

Year:  2016        PMID: 27416957     DOI: 10.1002/mrm.26334

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


  5 in total

Review 1.  Inferring brain tissue composition and microstructure via MR relaxometry.

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

2.  Myelin volume fraction imaging with MRI.

Authors:  Kathryn L West; Nathaniel D Kelm; Robert P Carson; Daniel F Gochberg; Kevin C Ess; Mark D Does
Journal:  Neuroimage       Date:  2016-12-23       Impact factor: 6.556

3.  Improved magnetic resonance myelin water imaging using multi-channel denoising convolutional neural networks (MCDnCNN).

Authors:  Guojun Xu; Yongquan He; Qiurong Yu; Hongjian He; Zhiyong Zhao; Mingxia Fan; Jianqi Li; Dongrong Xu
Journal:  Quant Imaging Med Surg       Date:  2022-03

4.  Use of the NESMA Filter to Improve Myelin Water Fraction Mapping with Brain MRI.

Authors:  Mustapha Bouhrara; David A Reiter; Michael C Maring; Jean-Marie Bonny; Richard G Spencer
Journal:  J Neuroimaging       Date:  2018-07-12       Impact factor: 2.486

5.  Assessment and correction of macroscopic field variations in 2D spoiled gradient-echo sequences.

Authors:  Martin Soellradl; Andreas Lesch; Johannes Strasser; Lukas Pirpamer; Rudolf Stollberger; Stefan Ropele; Christian Langkammer
Journal:  Magn Reson Med       Date:  2019-12-23       Impact factor: 4.668

  5 in total

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