Quantitative multi-parametric MRI measurements
(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:
https://lup.lub.lu.se/record/ef66bed9-dddf-4a3d-af7f-8969e6ed3a84
- author
- Helms, Gunther LU
- organization
- publishing date
- 2021-12-01
- 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}}, }