In Vivo Myelin Water Quantification Using Diffusion–Relaxation Correlation MRI : A Comparison of 1D and 2D Methods
(2023) In Applied Magnetic Resonance 54(11-12). p.1571-1588- Abstract
Multidimensional Magnetic Resonance Imaging (MRI) is a versatile tool for microstructure mapping. We use a diffusion weighted inversion recovery spin echo (DW-IR-SE) sequence with spiral readouts at ultra-strong gradients to acquire a rich diffusion–relaxation data set with sensitivity to myelin water. We reconstruct 1D and 2D spectra with a two-step convex optimization approach and investigate a variety of multidimensional MRI methods, including 1D multi-component relaxometry, 1D multi-component diffusometry, 2D relaxation correlation imaging, and 2D diffusion-relaxation correlation spectroscopic imaging (DR-CSI), in terms of their potential to quantify tissue microstructure, including the myelin water fraction (MWF). We observe a... (More)
Multidimensional Magnetic Resonance Imaging (MRI) is a versatile tool for microstructure mapping. We use a diffusion weighted inversion recovery spin echo (DW-IR-SE) sequence with spiral readouts at ultra-strong gradients to acquire a rich diffusion–relaxation data set with sensitivity to myelin water. We reconstruct 1D and 2D spectra with a two-step convex optimization approach and investigate a variety of multidimensional MRI methods, including 1D multi-component relaxometry, 1D multi-component diffusometry, 2D relaxation correlation imaging, and 2D diffusion-relaxation correlation spectroscopic imaging (DR-CSI), in terms of their potential to quantify tissue microstructure, including the myelin water fraction (MWF). We observe a distinct spectral peak that we attribute to myelin water in multi-component T1 relaxometry, T1-T2 correlation, T1-D correlation, and T2-D correlation imaging. Due to lower achievable echo times compared to diffusometry, MWF maps from relaxometry have higher quality. Whilst 1D multi-component T1 data allows much faster myelin mapping, 2D approaches could offer unique insights into tissue microstructure and especially myelin diffusion.
(Less)
- author
- organization
- publishing date
- 2023-12
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Correlation imaging, Diffusometry, Microstructure, Multi-component, Multi-exponential, Multidimensional, Multiparametric, MWF mapping, Relaxometry
- in
- Applied Magnetic Resonance
- volume
- 54
- issue
- 11-12
- pages
- 18 pages
- publisher
- Springer
- external identifiers
-
- pmid:38037641
- scopus:85166626475
- ISSN
- 0937-9347
- DOI
- 10.1007/s00723-023-01584-1
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2023, The Author(s).
- id
- e9ceaf5e-155c-45c6-af70-5a20457700e9
- date added to LUP
- 2024-01-15 14:58:07
- date last changed
- 2024-04-16 01:26:23
@article{e9ceaf5e-155c-45c6-af70-5a20457700e9,
abstract = {{<p>Multidimensional Magnetic Resonance Imaging (MRI) is a versatile tool for microstructure mapping. We use a diffusion weighted inversion recovery spin echo (DW-IR-SE) sequence with spiral readouts at ultra-strong gradients to acquire a rich diffusion–relaxation data set with sensitivity to myelin water. We reconstruct 1D and 2D spectra with a two-step convex optimization approach and investigate a variety of multidimensional MRI methods, including 1D multi-component relaxometry, 1D multi-component diffusometry, 2D relaxation correlation imaging, and 2D diffusion-relaxation correlation spectroscopic imaging (DR-CSI), in terms of their potential to quantify tissue microstructure, including the myelin water fraction (MWF). We observe a distinct spectral peak that we attribute to myelin water in multi-component T1 relaxometry, T1-T2 correlation, T1-D correlation, and T2-D correlation imaging. Due to lower achievable echo times compared to diffusometry, MWF maps from relaxometry have higher quality. Whilst 1D multi-component T1 data allows much faster myelin mapping, 2D approaches could offer unique insights into tissue microstructure and especially myelin diffusion.</p>}},
author = {{Endt, Sebastian and Engel, Maria and Naldi, Emanuele and Assereto, Rodolfo and Molendowska, Malwina and Mueller, Lars and Mayrink Verdun, Claudio and Pirkl, Carolin M. and Palombo, Marco and Jones, Derek K. and Menzel, Marion I.}},
issn = {{0937-9347}},
keywords = {{Correlation imaging; Diffusometry; Microstructure; Multi-component; Multi-exponential; Multidimensional; Multiparametric; MWF mapping; Relaxometry}},
language = {{eng}},
number = {{11-12}},
pages = {{1571--1588}},
publisher = {{Springer}},
series = {{Applied Magnetic Resonance}},
title = {{In Vivo Myelin Water Quantification Using Diffusion–Relaxation Correlation MRI : A Comparison of 1D and 2D Methods}},
url = {{http://dx.doi.org/10.1007/s00723-023-01584-1}},
doi = {{10.1007/s00723-023-01584-1}},
volume = {{54}},
year = {{2023}},
}