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Double diffusion encoding and applications for biomedical imaging

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Double diffusion encoding and applications for biomedical imaging. / Henriques, Rafael N; Palombo, Marco; Jespersen, Sune N; Shemesh, Noam; Lundell, Henrik; Ianuş, Andrada.

In: Journal of Neuroscience Methods, Vol. 348, 108989, 01.2021.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Henriques, RN, Palombo, M, Jespersen, SN, Shemesh, N, Lundell, H & Ianuş, A 2021, 'Double diffusion encoding and applications for biomedical imaging', Journal of Neuroscience Methods, vol. 348, 108989. https://doi.org/10.1016/j.jneumeth.2020.108989

APA

Henriques, R. N., Palombo, M., Jespersen, S. N., Shemesh, N., Lundell, H., & Ianuş, A. (2021). Double diffusion encoding and applications for biomedical imaging. Journal of Neuroscience Methods, 348, [108989]. https://doi.org/10.1016/j.jneumeth.2020.108989

CBE

Henriques RN, Palombo M, Jespersen SN, Shemesh N, Lundell H, Ianuş A. 2021. Double diffusion encoding and applications for biomedical imaging. Journal of Neuroscience Methods. 348:Article 108989. https://doi.org/10.1016/j.jneumeth.2020.108989

MLA

Vancouver

Henriques RN, Palombo M, Jespersen SN, Shemesh N, Lundell H, Ianuş A. Double diffusion encoding and applications for biomedical imaging. Journal of Neuroscience Methods. 2021 Jan;348. 108989. https://doi.org/10.1016/j.jneumeth.2020.108989

Author

Henriques, Rafael N ; Palombo, Marco ; Jespersen, Sune N ; Shemesh, Noam ; Lundell, Henrik ; Ianuş, Andrada. / Double diffusion encoding and applications for biomedical imaging. In: Journal of Neuroscience Methods. 2021 ; Vol. 348.

Bibtex

@article{ebecf902aa94454e8a7e803fea612201,
title = "Double diffusion encoding and applications for biomedical imaging",
abstract = "Diffusion Magnetic Resonance Imaging (dMRI) is one of the most important contemporary non-invasive modalities for probing tissue structure at the microscopic scale. The majority of dMRI techniques employ standard single diffusion encoding (SDE) measurements, covering different sequence parameter ranges depending on the complexity of the method. Although many signal representations and biophysical models have been proposed for SDE data, they are intrinsically limited by a lack of specificity. Advanced dMRI methods have been proposed to provide additional microstructural information beyond what can be inferred from SDE. These enhanced contrasts can play important roles in characterizing biological tissues, for instance upon diseases (e.g. neurodegenerative, cancer, stroke), aging, learning, and development. In this review we focus on double diffusion encoding (DDE), which stands out among other advanced acquisitions for its versatility, ability to probe more specific diffusion correlations, and feasibility for preclinical and clinical applications. Various DDE methodologies have been employed to probe compartment sizes (Section 3), decouple the effects of microscopic diffusion anisotropy from orientation dispersion (Section 4), probe displacement correlations, study exchange, or suppress fast diffusing compartments (Section 6). DDE measurements can also be used to improve the robustness of biophysical models (Section 5) and study intra-cellular diffusion via magnetic resonance spectroscopy of metabolites (Section 7). This review discusses all these topics as well as important practical aspects related to the implementation and contrast in preclinical and clinical settings (Section 9) and aims to provide the readers a guide for deciding on the right DDE acquisition for their specific application.",
keywords = "Diffusion MRI, diffusion correlation tensor, double diffusion encoding, exchange, magnetic resonance spectroscopy, microscopic anisotropy, tissue microstructure",
author = "Henriques, {Rafael N} and Marco Palombo and Jespersen, {Sune N} and Noam Shemesh and Henrik Lundell and Andrada Ianu{\c s}",
note = "Copyright {\textcopyright} 2020 Elsevier B.V. All rights reserved.",
year = "2021",
month = jan,
doi = "10.1016/j.jneumeth.2020.108989",
language = "English",
volume = "348",
journal = "Journal of Neuroscience Methods",
issn = "0165-0270",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - Double diffusion encoding and applications for biomedical imaging

AU - Henriques, Rafael N

AU - Palombo, Marco

AU - Jespersen, Sune N

AU - Shemesh, Noam

AU - Lundell, Henrik

AU - Ianuş, Andrada

N1 - Copyright © 2020 Elsevier B.V. All rights reserved.

PY - 2021/1

Y1 - 2021/1

N2 - Diffusion Magnetic Resonance Imaging (dMRI) is one of the most important contemporary non-invasive modalities for probing tissue structure at the microscopic scale. The majority of dMRI techniques employ standard single diffusion encoding (SDE) measurements, covering different sequence parameter ranges depending on the complexity of the method. Although many signal representations and biophysical models have been proposed for SDE data, they are intrinsically limited by a lack of specificity. Advanced dMRI methods have been proposed to provide additional microstructural information beyond what can be inferred from SDE. These enhanced contrasts can play important roles in characterizing biological tissues, for instance upon diseases (e.g. neurodegenerative, cancer, stroke), aging, learning, and development. In this review we focus on double diffusion encoding (DDE), which stands out among other advanced acquisitions for its versatility, ability to probe more specific diffusion correlations, and feasibility for preclinical and clinical applications. Various DDE methodologies have been employed to probe compartment sizes (Section 3), decouple the effects of microscopic diffusion anisotropy from orientation dispersion (Section 4), probe displacement correlations, study exchange, or suppress fast diffusing compartments (Section 6). DDE measurements can also be used to improve the robustness of biophysical models (Section 5) and study intra-cellular diffusion via magnetic resonance spectroscopy of metabolites (Section 7). This review discusses all these topics as well as important practical aspects related to the implementation and contrast in preclinical and clinical settings (Section 9) and aims to provide the readers a guide for deciding on the right DDE acquisition for their specific application.

AB - Diffusion Magnetic Resonance Imaging (dMRI) is one of the most important contemporary non-invasive modalities for probing tissue structure at the microscopic scale. The majority of dMRI techniques employ standard single diffusion encoding (SDE) measurements, covering different sequence parameter ranges depending on the complexity of the method. Although many signal representations and biophysical models have been proposed for SDE data, they are intrinsically limited by a lack of specificity. Advanced dMRI methods have been proposed to provide additional microstructural information beyond what can be inferred from SDE. These enhanced contrasts can play important roles in characterizing biological tissues, for instance upon diseases (e.g. neurodegenerative, cancer, stroke), aging, learning, and development. In this review we focus on double diffusion encoding (DDE), which stands out among other advanced acquisitions for its versatility, ability to probe more specific diffusion correlations, and feasibility for preclinical and clinical applications. Various DDE methodologies have been employed to probe compartment sizes (Section 3), decouple the effects of microscopic diffusion anisotropy from orientation dispersion (Section 4), probe displacement correlations, study exchange, or suppress fast diffusing compartments (Section 6). DDE measurements can also be used to improve the robustness of biophysical models (Section 5) and study intra-cellular diffusion via magnetic resonance spectroscopy of metabolites (Section 7). This review discusses all these topics as well as important practical aspects related to the implementation and contrast in preclinical and clinical settings (Section 9) and aims to provide the readers a guide for deciding on the right DDE acquisition for their specific application.

KW - Diffusion MRI

KW - diffusion correlation tensor

KW - double diffusion encoding

KW - exchange

KW - magnetic resonance spectroscopy

KW - microscopic anisotropy

KW - tissue microstructure

UR - http://www.scopus.com/inward/record.url?scp=85097157825&partnerID=8YFLogxK

U2 - 10.1016/j.jneumeth.2020.108989

DO - 10.1016/j.jneumeth.2020.108989

M3 - Journal article

C2 - 33144100

VL - 348

JO - Journal of Neuroscience Methods

JF - Journal of Neuroscience Methods

SN - 0165-0270

M1 - 108989

ER -