Isotropic diffusion weighting in PGSE NMR: Numerical optimization of the q-MAS PGSE sequence
(2013) In Microporous and Mesoporous Materials 178. p.60-63- Abstract
- Isotropic diffusion weighting is employed in diffusion NMR and MRI for rapid determination of the trace of the diffusion tensor and for showing the presence of microscopic diffusion anisotropy in a globally isotropic material. In the recently introduced q-MAS PGSE sequence, short gradient pulses define the beginning and the end of the diffusion time by quickly increasing and reducing the magnitude of the q-vector, while isotropic diffusion weighting is achieved by low-amplitude harmonically modulated gradients that make the q-vector rotate at the magic angle from an axis fixed in the lab frame. While efficient and easily implemented on microimaging systems with high-gradient capabilities, the previous version of q-MAS PGSE is too demanding... (More)
- Isotropic diffusion weighting is employed in diffusion NMR and MRI for rapid determination of the trace of the diffusion tensor and for showing the presence of microscopic diffusion anisotropy in a globally isotropic material. In the recently introduced q-MAS PGSE sequence, short gradient pulses define the beginning and the end of the diffusion time by quickly increasing and reducing the magnitude of the q-vector, while isotropic diffusion weighting is achieved by low-amplitude harmonically modulated gradients that make the q-vector rotate at the magic angle from an axis fixed in the lab frame. While efficient and easily implemented on microimaging systems with high-gradient capabilities, the previous version of q-MAS PGSE is too demanding for clinical MR scanners. Here, we present numerically optimized smooth gradient waveforms yielding maximum diffusion weighting for a given maximum gradient strength and echo time. (C) 2013 Elsevier Inc. All rights reserved. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4042646
- author
- Topgaard, Daniel LU
- organization
- publishing date
- 2013
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Magnetic resonance, Pulsed-gradient spin-echo, Magic-angle spinning, q-Vector, Microscopic diffusion anisotropy
- in
- Microporous and Mesoporous Materials
- volume
- 178
- pages
- 60 - 63
- publisher
- Elsevier
- external identifiers
-
- wos:000322426400016
- scopus:84894901533
- ISSN
- 1387-1811
- DOI
- 10.1016/j.micromeso.2013.03.009
- language
- English
- LU publication?
- yes
- id
- 49993283-7ff3-4c37-8eb7-595e607a79bd (old id 4042646)
- date added to LUP
- 2016-04-01 13:56:19
- date last changed
- 2022-01-27 22:00:23
@article{49993283-7ff3-4c37-8eb7-595e607a79bd,
abstract = {{Isotropic diffusion weighting is employed in diffusion NMR and MRI for rapid determination of the trace of the diffusion tensor and for showing the presence of microscopic diffusion anisotropy in a globally isotropic material. In the recently introduced q-MAS PGSE sequence, short gradient pulses define the beginning and the end of the diffusion time by quickly increasing and reducing the magnitude of the q-vector, while isotropic diffusion weighting is achieved by low-amplitude harmonically modulated gradients that make the q-vector rotate at the magic angle from an axis fixed in the lab frame. While efficient and easily implemented on microimaging systems with high-gradient capabilities, the previous version of q-MAS PGSE is too demanding for clinical MR scanners. Here, we present numerically optimized smooth gradient waveforms yielding maximum diffusion weighting for a given maximum gradient strength and echo time. (C) 2013 Elsevier Inc. All rights reserved.}},
author = {{Topgaard, Daniel}},
issn = {{1387-1811}},
keywords = {{Magnetic resonance; Pulsed-gradient spin-echo; Magic-angle spinning; q-Vector; Microscopic diffusion anisotropy}},
language = {{eng}},
pages = {{60--63}},
publisher = {{Elsevier}},
series = {{Microporous and Mesoporous Materials}},
title = {{Isotropic diffusion weighting in PGSE NMR: Numerical optimization of the q-MAS PGSE sequence}},
url = {{http://dx.doi.org/10.1016/j.micromeso.2013.03.009}},
doi = {{10.1016/j.micromeso.2013.03.009}},
volume = {{178}},
year = {{2013}},
}