Literature DB >> 24140623

Measuring small compartment dimensions by probing diffusion dynamics via Non-uniform Oscillating-Gradient Spin-Echo (NOGSE) NMR.

Noam Shemesh1, Gonzalo A Álvarez1, Lucio Frydman2.   

Abstract

Noninvasive measurements of microstructure in materials, cells, and in biological tissues, constitute a unique capability of gradient-assisted NMR. Diffusion-diffraction MR approaches pioneered by Callaghan demonstrated this ability; Oscillating-Gradient Spin-Echo (OGSE) methodologies tackle the demanding gradient amplitudes required for observing diffraction patterns by utilizing constant-frequency oscillating gradient pairs that probe the diffusion spectrum, D(ω). Here we present a new class of diffusion MR experiments, termed Non-uniform Oscillating-Gradient Spin-Echo (NOGSE), which dynamically probe multiple frequencies of the diffusion spectral density at once, thus affording direct microstructural information on the compartment's dimension. The NOGSE methodology applies N constant-amplitude gradient oscillations; N-1 of these oscillations are spaced by a characteristic time x, followed by a single gradient oscillation characterized by a time y, such that the diffusion dynamics is probed while keeping (N-1)x+y≡TNOGSE constant. These constant-time, fixed-gradient-amplitude, multi-frequency attributes render NOGSE particularly useful for probing small compartment dimensions with relatively weak gradients - alleviating difficulties associated with probing D(ω) frequency-by-frequency or with varying relaxation weightings, as in other diffusion-monitoring experiments. Analytical descriptions of the NOGSE signal are given, and the sequence's ability to extract small compartment sizes with a sensitivity towards length to the sixth power, is demonstrated using a microstructural phantom. Excellent agreement between theory and experiments was evidenced even upon applying weak gradient amplitudes. An MR imaging version of NOGSE was also implemented in ex vivo pig spinal cords and mouse brains, affording maps based on compartment sizes. The effects of size distributions on NOGSE are also briefly analyzed.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ADC; CNS; CPMG; Carr–Purcell–Meiboom–Gill; DTI; FT; Fourier transform; GM; Gradient echoes; Magnetic resonance imaging; Microstructure; NOGSE; Non-uniform Oscillating-Gradient Spin-Echo; OGSE; Oscillating gradients; Oscillating-Gradient Spin-Echo; PGSE; Pulsed-Gradient Spin-Echo; Restricted diffusion; SDR; Selective dynamical recoupling; WM; apparent diffusion coefficient; diffusion tensor imaging; gray matter; selective dynamical recoupling; white matter

Mesh:

Year:  2013        PMID: 24140623     DOI: 10.1016/j.jmr.2013.09.009

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  13 in total

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Authors:  Xiaoyu Jiang; Hua Li; Jingping Xie; Ping Zhao; John C Gore; Junzhong Xu
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2.  In vivo mapping of human spinal cord microstructure at 300mT/m.

Authors:  Tanguy Duval; Jennifer A McNab; Kawin Setsompop; Thomas Witzel; Torben Schneider; Susie Yi Huang; Boris Keil; Eric C Klawiter; Lawrence L Wald; Julien Cohen-Adad
Journal:  Neuroimage       Date:  2015-06-19       Impact factor: 6.556

3.  Fast and robust measurement of microstructural dimensions using temporal diffusion spectroscopy.

Authors:  Hua Li; John C Gore; Junzhong Xu
Journal:  J Magn Reson       Date:  2014-02-19       Impact factor: 2.229

4.  Mapping mean axon diameter and axonal volume fraction by MRI using temporal diffusion spectroscopy.

Authors:  Junzhong Xu; Hua Li; Kevin D Harkins; Xiaoyu Jiang; Jingping Xie; Hakmook Kang; Mark D Does; John C Gore
Journal:  Neuroimage       Date:  2014-09-16       Impact factor: 6.556

Review 5.  The present and the future of microstructure MRI: From a paradigm shift to normal science.

Authors:  Dmitry S Novikov
Journal:  J Neurosci Methods       Date:  2020-10-21       Impact factor: 2.390

6.  Size Distribution Imaging by Non-Uniform Oscillating-Gradient Spin Echo (NOGSE) MRI.

Authors:  Noam Shemesh; Gonzalo A Álvarez; Lucio Frydman
Journal:  PLoS One       Date:  2015-07-21       Impact factor: 3.240

7.  A model for extra-axonal diffusion spectra with frequency-dependent restriction.

Authors:  Wilfred W Lam; Saâd Jbabdi; Karla L Miller
Journal:  Magn Reson Med       Date:  2014-07-15       Impact factor: 4.668

8.  PGSE, OGSE, and sensitivity to axon diameter in diffusion MRI: Insight from a simulation study.

Authors:  Ivana Drobnjak; Hui Zhang; Andrada Ianuş; Enrico Kaden; Daniel C Alexander
Journal:  Magn Reson Med       Date:  2015-03-25       Impact factor: 4.668

9.  Towards higher sensitivity and stability of axon diameter estimation with diffusion-weighted MRI.

Authors:  Farshid Sepehrband; Daniel C Alexander; Nyoman D Kurniawan; David C Reutens; Zhengyi Yang
Journal:  NMR Biomed       Date:  2016-01-08       Impact factor: 4.044

10.  Double oscillating diffusion encoding and sensitivity to microscopic anisotropy.

Authors:  Andrada Ianuş; Noam Shemesh; Daniel C Alexander; Ivana Drobnjak
Journal:  Magn Reson Med       Date:  2016-08-31       Impact factor: 4.668

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