In vivo rat brain mapping of multiple gray matter water populations using nonparametric D(ω)-R1-R2 distributions MRI
(2025) In NMR in Biomedicine 38(1).- Abstract
Massively multidimensional diffusion magnetic resonance imaging combines tensor-valued encoding, oscillating gradients, and diffusion-relaxation correlation to provide multicomponent subvoxel parameters depicting some tissue microstructural features. This method was successfully implemented ex vivo in microimaging systems and clinical conditions with tensor-valued gradient waveform of variable duration giving access to a narrow diffusion frequency (ω) range. We demonstrate here its preclinical in vivo implementation with a protocol of 389 contrast images probing a wide diffusion frequency range of 18 to 92 Hz at b-values up to 2.1 ms/μm2 enabled by the use of modulated gradient waveforms and combined with multislice... (More)
Massively multidimensional diffusion magnetic resonance imaging combines tensor-valued encoding, oscillating gradients, and diffusion-relaxation correlation to provide multicomponent subvoxel parameters depicting some tissue microstructural features. This method was successfully implemented ex vivo in microimaging systems and clinical conditions with tensor-valued gradient waveform of variable duration giving access to a narrow diffusion frequency (ω) range. We demonstrate here its preclinical in vivo implementation with a protocol of 389 contrast images probing a wide diffusion frequency range of 18 to 92 Hz at b-values up to 2.1 ms/μm2 enabled by the use of modulated gradient waveforms and combined with multislice high-resolution and low-distortion echo planar imaging acquisition with segmented and full reversed phase-encode acquisition. This framework allows the identification of diffusion ω-dependence in the rat cerebellum and olfactory bulb gray matter (GM), and the parameter distributions are shown to resolve two water pools in the cerebellum GM with different diffusion coefficients, shapes, ω-dependence, relaxation rates, and spatial repartition whose attribution to specific microstructure could modify the current understanding of the origin of restriction in GM.
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- author
- Yon, Maxime LU ; Narvaez, Omar ; Topgaard, Daniel LU and Sierra, Alejandra
- organization
- publishing date
- 2025-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- diffusion MRI, frequency-dependent diffusion, gray matter, multidimensional MRI, oscillating gradients (OGSE), tensor valued diffusion encoding
- in
- NMR in Biomedicine
- volume
- 38
- issue
- 1
- article number
- e5286
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- scopus:85210004528
- pmid:39582188
- ISSN
- 0952-3480
- DOI
- 10.1002/nbm.5286
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2024 The Author(s). NMR in Biomedicine published by John Wiley & Sons Ltd.
- id
- 07db83d9-94ba-4af6-977b-c7a8f1005cc8
- date added to LUP
- 2025-01-23 08:42:20
- date last changed
- 2025-06-12 19:25:47
@article{07db83d9-94ba-4af6-977b-c7a8f1005cc8,
abstract = {{<p>Massively multidimensional diffusion magnetic resonance imaging combines tensor-valued encoding, oscillating gradients, and diffusion-relaxation correlation to provide multicomponent subvoxel parameters depicting some tissue microstructural features. This method was successfully implemented ex vivo in microimaging systems and clinical conditions with tensor-valued gradient waveform of variable duration giving access to a narrow diffusion frequency (ω) range. We demonstrate here its preclinical in vivo implementation with a protocol of 389 contrast images probing a wide diffusion frequency range of 18 to 92 Hz at b-values up to 2.1 ms/μm<sup>2</sup> enabled by the use of modulated gradient waveforms and combined with multislice high-resolution and low-distortion echo planar imaging acquisition with segmented and full reversed phase-encode acquisition. This framework allows the identification of diffusion ω-dependence in the rat cerebellum and olfactory bulb gray matter (GM), and the parameter distributions are shown to resolve two water pools in the cerebellum GM with different diffusion coefficients, shapes, ω-dependence, relaxation rates, and spatial repartition whose attribution to specific microstructure could modify the current understanding of the origin of restriction in GM.</p>}},
author = {{Yon, Maxime and Narvaez, Omar and Topgaard, Daniel and Sierra, Alejandra}},
issn = {{0952-3480}},
keywords = {{diffusion MRI; frequency-dependent diffusion; gray matter; multidimensional MRI; oscillating gradients (OGSE); tensor valued diffusion encoding}},
language = {{eng}},
number = {{1}},
publisher = {{John Wiley & Sons Inc.}},
series = {{NMR in Biomedicine}},
title = {{In vivo rat brain mapping of multiple gray matter water populations using nonparametric D(ω)-R<sub>1</sub>-R<sub>2</sub> distributions MRI}},
url = {{http://dx.doi.org/10.1002/nbm.5286}},
doi = {{10.1002/nbm.5286}},
volume = {{38}},
year = {{2025}},
}