Non-Gaussian diffusion imaging: A brief practical review

Silvia De Santis, Andrea Gabrielli, Marco Palombo, Bruno Maraviglia, Silvia Capuani

Research output: Contribution to journalArticle

Abstract

The departure from purely mono-exponential decay of the signal, as observed from brain tissue following a diffusion-sensitized sequence, has prompted the search for alternative models to characterize these unconventional water diffusion dynamics. Several approaches have been proposed in the last few years. While multi-exponential models have been applied to characterize brain tissue, several unresolved controversies about the interpretations of the results have motivated the search for alternative models that do not rely on the Gaussian diffusion hypothesis. In this brief review, diffusional kurtosis imaging (DKI) and anomalous diffusion imaging (ADI) techniques are addressed and compared with diffusion tensor imaging. Theoretical and experimental issues are briefly described to allow readers to understand similarities, differences and limitations of these two non-Gaussian models. However, since the ultimate goal is to improve specificity, sensitivity and spatial localization of diffusion MRI for the detection of brain diseases, special attention will be paid on the clinical feasibility of the proposed techniques as well as on the context of brain pathology investigations.

Original languageEnglish
Pages (from-to)1410-1416
Number of pages7
JournalMagnetic Resonance Imaging
Volume29
Issue number10
DOIs
Publication statusPublished - Dec 2011

Fingerprint

Brain
Imaging techniques
Diffusion Magnetic Resonance Imaging
Diffusion Tensor Imaging
Diffusion tensor imaging
Tissue
Brain Diseases
Pathology
Magnetic resonance imaging
Sensitivity and Specificity
Water

Keywords

  • Anomalous diffusion
  • DKI
  • DTI
  • Non-Gaussian diffusion
  • Stretched-exponential model
  • Water diffusion

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging
  • Biomedical Engineering

Cite this

De Santis, S., Gabrielli, A., Palombo, M., Maraviglia, B., & Capuani, S. (2011). Non-Gaussian diffusion imaging: A brief practical review. Magnetic Resonance Imaging, 29(10), 1410-1416. https://doi.org/10.1016/j.mri.2011.04.006

Non-Gaussian diffusion imaging : A brief practical review. / De Santis, Silvia; Gabrielli, Andrea; Palombo, Marco; Maraviglia, Bruno; Capuani, Silvia.

In: Magnetic Resonance Imaging, Vol. 29, No. 10, 12.2011, p. 1410-1416.

Research output: Contribution to journalArticle

De Santis, S, Gabrielli, A, Palombo, M, Maraviglia, B & Capuani, S 2011, 'Non-Gaussian diffusion imaging: A brief practical review', Magnetic Resonance Imaging, vol. 29, no. 10, pp. 1410-1416. https://doi.org/10.1016/j.mri.2011.04.006
De Santis S, Gabrielli A, Palombo M, Maraviglia B, Capuani S. Non-Gaussian diffusion imaging: A brief practical review. Magnetic Resonance Imaging. 2011 Dec;29(10):1410-1416. https://doi.org/10.1016/j.mri.2011.04.006
De Santis, Silvia ; Gabrielli, Andrea ; Palombo, Marco ; Maraviglia, Bruno ; Capuani, Silvia. / Non-Gaussian diffusion imaging : A brief practical review. In: Magnetic Resonance Imaging. 2011 ; Vol. 29, No. 10. pp. 1410-1416.
@article{51779e26bd314566b564a8db8b621dd6,
title = "Non-Gaussian diffusion imaging: A brief practical review",
abstract = "The departure from purely mono-exponential decay of the signal, as observed from brain tissue following a diffusion-sensitized sequence, has prompted the search for alternative models to characterize these unconventional water diffusion dynamics. Several approaches have been proposed in the last few years. While multi-exponential models have been applied to characterize brain tissue, several unresolved controversies about the interpretations of the results have motivated the search for alternative models that do not rely on the Gaussian diffusion hypothesis. In this brief review, diffusional kurtosis imaging (DKI) and anomalous diffusion imaging (ADI) techniques are addressed and compared with diffusion tensor imaging. Theoretical and experimental issues are briefly described to allow readers to understand similarities, differences and limitations of these two non-Gaussian models. However, since the ultimate goal is to improve specificity, sensitivity and spatial localization of diffusion MRI for the detection of brain diseases, special attention will be paid on the clinical feasibility of the proposed techniques as well as on the context of brain pathology investigations.",
keywords = "Anomalous diffusion, DKI, DTI, Non-Gaussian diffusion, Stretched-exponential model, Water diffusion",
author = "{De Santis}, Silvia and Andrea Gabrielli and Marco Palombo and Bruno Maraviglia and Silvia Capuani",
year = "2011",
month = "12",
doi = "10.1016/j.mri.2011.04.006",
language = "English",
volume = "29",
pages = "1410--1416",
journal = "Magnetic Resonance Imaging",
issn = "0730-725X",
publisher = "Elsevier Inc.",
number = "10",

}

TY - JOUR

T1 - Non-Gaussian diffusion imaging

T2 - A brief practical review

AU - De Santis, Silvia

AU - Gabrielli, Andrea

AU - Palombo, Marco

AU - Maraviglia, Bruno

AU - Capuani, Silvia

PY - 2011/12

Y1 - 2011/12

N2 - The departure from purely mono-exponential decay of the signal, as observed from brain tissue following a diffusion-sensitized sequence, has prompted the search for alternative models to characterize these unconventional water diffusion dynamics. Several approaches have been proposed in the last few years. While multi-exponential models have been applied to characterize brain tissue, several unresolved controversies about the interpretations of the results have motivated the search for alternative models that do not rely on the Gaussian diffusion hypothesis. In this brief review, diffusional kurtosis imaging (DKI) and anomalous diffusion imaging (ADI) techniques are addressed and compared with diffusion tensor imaging. Theoretical and experimental issues are briefly described to allow readers to understand similarities, differences and limitations of these two non-Gaussian models. However, since the ultimate goal is to improve specificity, sensitivity and spatial localization of diffusion MRI for the detection of brain diseases, special attention will be paid on the clinical feasibility of the proposed techniques as well as on the context of brain pathology investigations.

AB - The departure from purely mono-exponential decay of the signal, as observed from brain tissue following a diffusion-sensitized sequence, has prompted the search for alternative models to characterize these unconventional water diffusion dynamics. Several approaches have been proposed in the last few years. While multi-exponential models have been applied to characterize brain tissue, several unresolved controversies about the interpretations of the results have motivated the search for alternative models that do not rely on the Gaussian diffusion hypothesis. In this brief review, diffusional kurtosis imaging (DKI) and anomalous diffusion imaging (ADI) techniques are addressed and compared with diffusion tensor imaging. Theoretical and experimental issues are briefly described to allow readers to understand similarities, differences and limitations of these two non-Gaussian models. However, since the ultimate goal is to improve specificity, sensitivity and spatial localization of diffusion MRI for the detection of brain diseases, special attention will be paid on the clinical feasibility of the proposed techniques as well as on the context of brain pathology investigations.

KW - Anomalous diffusion

KW - DKI

KW - DTI

KW - Non-Gaussian diffusion

KW - Stretched-exponential model

KW - Water diffusion

UR - http://www.scopus.com/inward/record.url?scp=82455188087&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=82455188087&partnerID=8YFLogxK

U2 - 10.1016/j.mri.2011.04.006

DO - 10.1016/j.mri.2011.04.006

M3 - Article

C2 - 21601404

AN - SCOPUS:82455188087

VL - 29

SP - 1410

EP - 1416

JO - Magnetic Resonance Imaging

JF - Magnetic Resonance Imaging

SN - 0730-725X

IS - 10

ER -