Literature DB >> 20398770

In vivo multi-slice mapping of myelin water content using T2* decay.

Dosik Hwang1, Dong-Hyun Kim, Yiping P Du.   

Abstract

Quantitative assessment of the myelin water content in the brain can substantially improve our understanding of white matter diseases such as multiple sclerosis. In this study, in vivo myelin water content was estimated using T(2)* relaxation with multi-slice acquisitions in magnetic resonance imaging (MRI). The main advantages of using T(2)* relaxation are (1) a low specific absorption rate (SAR), which is especially beneficial for imaging at high field strengths, (2) a short first-echo time (approximately 2 ms) and short echo spacing (approximately 1 ms), which allows for the acquisition of multiple sampling points during the fast decay of the myelin water signal, and (3) fast multi-slice acquisitions. High-resolution and multi-slice myelin water fraction (MWF) maps were obtained in a clinically acceptable scan time at 3T. Five healthy adults were scanned with a multi-gradient-echo sequence to acquire T(2)* signal decay data. Images with a dimension of 256x256 at eight slice locations were acquired in 8.5 min with a signal-to-noise ratio (SNR) of 94.8 in the first-echo images. The SNR was further increased by using an anisotropic diffusion filter. Local field gradients (LFG) were estimated from the acquired multi-slice data, and the LFG-induced signal decays were corrected with a first-order approximation of LFG using the sinc function. The corrected T(2)* signal decays were analyzed with a three-pool model to quantify MWF. Our results demonstrate the feasibility of in vivo multi-slice mapping of MWF using multi-compartmental analysis of the T(2)* signal decay. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20398770     DOI: 10.1016/j.neuroimage.2010.04.023

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


  58 in total

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2.  Gradient echo plural contrast imaging--signal model and derived contrasts: T2*, T1, phase, SWI, T1f, FST2*and T2*-SWI.

Authors:  Jie Luo; Bharathi D Jagadeesan; Anne H Cross; Dmitriy A Yablonskiy
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3.  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

4.  Differentiation and quantification of inflammation, demyelination and axon injury or loss in multiple sclerosis.

Authors:  Yong Wang; Peng Sun; Qing Wang; Kathryn Trinkaus; Robert E Schmidt; Robert T Naismith; Anne H Cross; Sheng-Kwei Song
Journal:  Brain       Date:  2015-02-26       Impact factor: 13.501

Review 5.  The future of ultra-high field MRI and fMRI for study of the human brain.

Authors:  Jeff H Duyn
Journal:  Neuroimage       Date:  2011-10-28       Impact factor: 6.556

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

7.  Peripheral nerve MRI: precision and reproducibility of T2*-derived measurements at 3.0-T : a feasibility study.

Authors:  Alberto Tagliafico; Bianca Bignotti; Giulio Tagliafico; Carlo Martinoli
Journal:  Skeletal Radiol       Date:  2015-01-30       Impact factor: 2.199

8.  On the role of neuronal magnetic susceptibility and structure symmetry on gradient echo MR signal formation.

Authors:  Alexander L Sukstanskii; Dmitriy A Yablonskiy
Journal:  Magn Reson Med       Date:  2013-02-04       Impact factor: 4.668

9.  Myelin water fraction estimation using small-tip fast recovery MRI.

Authors:  Steven T Whitaker; Gopal Nataraj; Jon-Fredrik Nielsen; Jeffrey A Fessler
Journal:  Magn Reson Med       Date:  2020-04-12       Impact factor: 4.668

10.  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

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