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Transferring principles of solid-state and Laplace NMR to the field of in vivo brain MRI

De almeida martins, João P. LU ; Tax, Chantal M. W. ; Szczepankiewicz, Filip LU orcid ; Jones, Derek K. ; Westin, Carl-Fredrik and Topgaard, Daniel LU (2020) In Magnetic Resonance 1(1). p.27-43
Abstract
Magnetic resonance imaging (MRI) is the primary method for noninvasive investigations of the human brain in health, disease, and development but yields data that are difficult to interpret whenever the millimeter-scale voxels contain multiple microscopic tissue environments with different chemical and structural properties. We propose a novel MRI framework to quantify the microscopic heterogeneity of the living human brain as spatially resolved five-dimensional relaxation–diffusion distributions by augmenting a conventional diffusion-weighted imaging sequence with signal encoding principles from multidimensional solid-state nuclear magnetic resonance (NMR) spectroscopy, relaxation–diffusion correlation methods from Laplace NMR of porous... (More)
Magnetic resonance imaging (MRI) is the primary method for noninvasive investigations of the human brain in health, disease, and development but yields data that are difficult to interpret whenever the millimeter-scale voxels contain multiple microscopic tissue environments with different chemical and structural properties. We propose a novel MRI framework to quantify the microscopic heterogeneity of the living human brain as spatially resolved five-dimensional relaxation–diffusion distributions by augmenting a conventional diffusion-weighted imaging sequence with signal encoding principles from multidimensional solid-state nuclear magnetic resonance (NMR) spectroscopy, relaxation–diffusion correlation methods from Laplace NMR of porous media, and Monte Carlo data inversion. The high dimensionality of the distribution space allows resolution of multiple microscopic environments within each heterogeneous voxel as well as their individual characterization with novel statistical measures that combine the chemical sensitivity of the relaxation rates with the link between microstructure and the anisotropic diffusivity of tissue water. The proposed framework is demonstrated on a healthy volunteer using both exhaustive and clinically viable acquisition protocols. (Less)
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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Magnetic Resonance
volume
1
issue
1
pages
27 - 43
publisher
Copernicus GmbH
external identifiers
  • scopus:85089501578
ISSN
2699-0016
DOI
10.5194/mr-1-27-2020
language
English
LU publication?
yes
id
e23af268-a4c2-4f28-a293-4d6e673ab2f8
date added to LUP
2023-06-01 14:10:37
date last changed
2023-06-02 04:01:16
@article{e23af268-a4c2-4f28-a293-4d6e673ab2f8,
  abstract     = {{Magnetic resonance imaging (MRI) is the primary method for noninvasive investigations of the human brain in health, disease, and development but yields data that are difficult to interpret whenever the millimeter-scale voxels contain multiple microscopic tissue environments with different chemical and structural properties. We propose a novel MRI framework to quantify the microscopic heterogeneity of the living human brain as spatially resolved five-dimensional relaxation–diffusion distributions by augmenting a conventional diffusion-weighted imaging sequence with signal encoding principles from multidimensional solid-state nuclear magnetic resonance (NMR) spectroscopy, relaxation–diffusion correlation methods from Laplace NMR of porous media, and Monte Carlo data inversion. The high dimensionality of the distribution space allows resolution of multiple microscopic environments within each heterogeneous voxel as well as their individual characterization with novel statistical measures that combine the chemical sensitivity of the relaxation rates with the link between microstructure and the anisotropic diffusivity of tissue water. The proposed framework is demonstrated on a healthy volunteer using both exhaustive and clinically viable acquisition protocols.}},
  author       = {{De almeida martins, João P. and Tax, Chantal M. W. and Szczepankiewicz, Filip and Jones, Derek K. and Westin, Carl-Fredrik and Topgaard, Daniel}},
  issn         = {{2699-0016}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{27--43}},
  publisher    = {{Copernicus GmbH}},
  series       = {{Magnetic Resonance}},
  title        = {{Transferring principles of solid-state and Laplace NMR to the field of in vivo brain MRI}},
  url          = {{http://dx.doi.org/10.5194/mr-1-27-2020}},
  doi          = {{10.5194/mr-1-27-2020}},
  volume       = {{1}},
  year         = {{2020}},
}