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Quantitative multi-parametric MRI measurements

Helms, Gunther LU orcid (2021) p.451-465
Abstract
Quantitative multi-parametric MRI measurements provide reproducible metrics of the MR properties of water to characterize brain tissue. The available parameters are determined by the acquisition protocols. These commonly utilize multiple spin-echo sequences, steady-state sequences of gradient-recalled echoes at variable flip angles or echo-planar images, besides novel non-repetitive acquisitions. Water from different environments at dimensions smaller than the voxel, such as myelin water, can be detected by adapted biophysical models (e.g., SyMRI or mcDESPOT) yielding estimates of the corresponding fractional volumes for segmentation. Multi-parametric MRI measurements can be used to simulate bias-free synthetic images for a wide range of... (More)
Quantitative multi-parametric MRI measurements provide reproducible metrics of the MR properties of water to characterize brain tissue. The available parameters are determined by the acquisition protocols. These commonly utilize multiple spin-echo sequences, steady-state sequences of gradient-recalled echoes at variable flip angles or echo-planar images, besides novel non-repetitive acquisitions. Water from different environments at dimensions smaller than the voxel, such as myelin water, can be detected by adapted biophysical models (e.g., SyMRI or mcDESPOT) yielding estimates of the corresponding fractional volumes for segmentation. Multi-parametric MRI measurements can be used to simulate bias-free synthetic images for a wide range of pulse sequences. Due to their specific sensitivity, the MR parameters provide information on the main drivers of contrast in brain tissue, chiefly myelin and iron, or can be used as biomarkers. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
biomarker, contrast mechanisms, exchange, gradient-echo, iron content, myelin volume, macromolecules, microstructure, proton density, quantitative MRI, relaxation, spin-echo
host publication
Advanced Neuro MR Techniques and Applications
editor
Choi, In-Young and Jezzard, Peter
pages
15 pages
publisher
Academic Press
ISBN
978-0-12-822479-3
DOI
10.1016/B978-0-12-822479-3.00045-2
language
English
LU publication?
yes
id
ef66bed9-dddf-4a3d-af7f-8969e6ed3a84
date added to LUP
2021-09-29 19:56:43
date last changed
2022-11-07 08:44:21
@inbook{ef66bed9-dddf-4a3d-af7f-8969e6ed3a84,
  abstract     = {{Quantitative multi-parametric MRI measurements provide reproducible metrics of the MR properties of water to characterize brain tissue. The available parameters are determined by the acquisition protocols. These commonly utilize multiple spin-echo sequences, steady-state sequences of gradient-recalled echoes at variable flip angles or echo-planar images, besides novel non-repetitive acquisitions. Water from different environments at dimensions smaller than the voxel, such as myelin water, can be detected by adapted biophysical models (e.g., SyMRI or mcDESPOT) yielding estimates of the corresponding fractional volumes for segmentation. Multi-parametric MRI measurements can be used to simulate bias-free synthetic images for a wide range of pulse sequences. Due to their specific sensitivity, the MR parameters provide information on the main drivers of contrast in brain tissue, chiefly myelin and iron, or can be used as biomarkers.}},
  author       = {{Helms, Gunther}},
  booktitle    = {{Advanced Neuro MR Techniques and Applications}},
  editor       = {{Choi, In-Young and Jezzard, Peter}},
  isbn         = {{978-0-12-822479-3}},
  keywords     = {{biomarker; contrast mechanisms; exchange; gradient-echo; iron content; myelin volume; macromolecules; microstructure; proton density; quantitative MRI; relaxation; spin-echo}},
  language     = {{eng}},
  month        = {{12}},
  pages        = {{451--465}},
  publisher    = {{Academic Press}},
  title        = {{Quantitative multi-parametric MRI measurements}},
  url          = {{http://dx.doi.org/10.1016/B978-0-12-822479-3.00045-2}},
  doi          = {{10.1016/B978-0-12-822479-3.00045-2}},
  year         = {{2021}},
}