Diffusional kurtosis imaging

The quantification of non-Gaussian water diffusion by means of magnetic resonance imaging

Jens H. Jensen, Joseph A. Helpern, Anita Ramani, Hanzhang Lu, Kyle Kaczynski

Research output: Contribution to journalArticle

Abstract

A magnetic resonance imaging method is presented for quantifying the degree to which water diffusion in biologic tissues is non-Gaussian. Since tissue structure is responsible for the deviation of water diffusion from the Gaussian behavior typically observed in homogeneous solutions, this method provides a specific measure of tissue structure, such as cellular compartments and membranes. The method is an extension of conventional diffusion-weighted imaging that requires the use of somewhat higher b values and a modified image postprocessing procedure. In addition to the diffusion coefficient, the method provides an estimate for the excess kurtosis of the diffusion displacement probability distribution, which is a dimensionless metric of the departure from a Gaussian form. From the study of six healthy adult subjects, the excess diffusional kurtosis is found to be significantly higher in white matter than in gray matter, reflecting the structural differences between these two types of cerebral tissues. Diffusional kurtosis imaging is related to q-space imaging methods, but is less demanding in terms of imaging time, hardware requirements, and postprocessing effort. It may be useful for assessing tissue structure abnormalities associated with a variety of neuropathologies.

Original languageEnglish (US)
Pages (from-to)1432-1440
Number of pages9
JournalMagnetic Resonance in Medicine
Volume53
Issue number6
DOIs
StatePublished - Jun 2005
Externally publishedYes

Fingerprint

Diffusion Magnetic Resonance Imaging
Water
Healthy Volunteers
Magnetic Resonance Imaging
Membranes

Keywords

  • Brain
  • Diffusion
  • Kurtosis
  • MRI
  • Neuropathology
  • Non-Gaussian

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Cite this

Diffusional kurtosis imaging : The quantification of non-Gaussian water diffusion by means of magnetic resonance imaging. / Jensen, Jens H.; Helpern, Joseph A.; Ramani, Anita; Lu, Hanzhang; Kaczynski, Kyle.

In: Magnetic Resonance in Medicine, Vol. 53, No. 6, 06.2005, p. 1432-1440.

Research output: Contribution to journalArticle

Jensen, Jens H. ; Helpern, Joseph A. ; Ramani, Anita ; Lu, Hanzhang ; Kaczynski, Kyle. / Diffusional kurtosis imaging : The quantification of non-Gaussian water diffusion by means of magnetic resonance imaging. In: Magnetic Resonance in Medicine. 2005 ; Vol. 53, No. 6. pp. 1432-1440.
@article{cba90a534ce54f4f9114d074276046ee,
title = "Diffusional kurtosis imaging: The quantification of non-Gaussian water diffusion by means of magnetic resonance imaging",
abstract = "A magnetic resonance imaging method is presented for quantifying the degree to which water diffusion in biologic tissues is non-Gaussian. Since tissue structure is responsible for the deviation of water diffusion from the Gaussian behavior typically observed in homogeneous solutions, this method provides a specific measure of tissue structure, such as cellular compartments and membranes. The method is an extension of conventional diffusion-weighted imaging that requires the use of somewhat higher b values and a modified image postprocessing procedure. In addition to the diffusion coefficient, the method provides an estimate for the excess kurtosis of the diffusion displacement probability distribution, which is a dimensionless metric of the departure from a Gaussian form. From the study of six healthy adult subjects, the excess diffusional kurtosis is found to be significantly higher in white matter than in gray matter, reflecting the structural differences between these two types of cerebral tissues. Diffusional kurtosis imaging is related to q-space imaging methods, but is less demanding in terms of imaging time, hardware requirements, and postprocessing effort. It may be useful for assessing tissue structure abnormalities associated with a variety of neuropathologies.",
keywords = "Brain, Diffusion, Kurtosis, MRI, Neuropathology, Non-Gaussian",
author = "Jensen, {Jens H.} and Helpern, {Joseph A.} and Anita Ramani and Hanzhang Lu and Kyle Kaczynski",
year = "2005",
month = "6",
doi = "10.1002/mrm.20508",
language = "English (US)",
volume = "53",
pages = "1432--1440",
journal = "Magnetic Resonance in Medicine",
issn = "0740-3194",
publisher = "John Wiley and Sons Inc.",
number = "6",

}

TY - JOUR

T1 - Diffusional kurtosis imaging

T2 - The quantification of non-Gaussian water diffusion by means of magnetic resonance imaging

AU - Jensen, Jens H.

AU - Helpern, Joseph A.

AU - Ramani, Anita

AU - Lu, Hanzhang

AU - Kaczynski, Kyle

PY - 2005/6

Y1 - 2005/6

N2 - A magnetic resonance imaging method is presented for quantifying the degree to which water diffusion in biologic tissues is non-Gaussian. Since tissue structure is responsible for the deviation of water diffusion from the Gaussian behavior typically observed in homogeneous solutions, this method provides a specific measure of tissue structure, such as cellular compartments and membranes. The method is an extension of conventional diffusion-weighted imaging that requires the use of somewhat higher b values and a modified image postprocessing procedure. In addition to the diffusion coefficient, the method provides an estimate for the excess kurtosis of the diffusion displacement probability distribution, which is a dimensionless metric of the departure from a Gaussian form. From the study of six healthy adult subjects, the excess diffusional kurtosis is found to be significantly higher in white matter than in gray matter, reflecting the structural differences between these two types of cerebral tissues. Diffusional kurtosis imaging is related to q-space imaging methods, but is less demanding in terms of imaging time, hardware requirements, and postprocessing effort. It may be useful for assessing tissue structure abnormalities associated with a variety of neuropathologies.

AB - A magnetic resonance imaging method is presented for quantifying the degree to which water diffusion in biologic tissues is non-Gaussian. Since tissue structure is responsible for the deviation of water diffusion from the Gaussian behavior typically observed in homogeneous solutions, this method provides a specific measure of tissue structure, such as cellular compartments and membranes. The method is an extension of conventional diffusion-weighted imaging that requires the use of somewhat higher b values and a modified image postprocessing procedure. In addition to the diffusion coefficient, the method provides an estimate for the excess kurtosis of the diffusion displacement probability distribution, which is a dimensionless metric of the departure from a Gaussian form. From the study of six healthy adult subjects, the excess diffusional kurtosis is found to be significantly higher in white matter than in gray matter, reflecting the structural differences between these two types of cerebral tissues. Diffusional kurtosis imaging is related to q-space imaging methods, but is less demanding in terms of imaging time, hardware requirements, and postprocessing effort. It may be useful for assessing tissue structure abnormalities associated with a variety of neuropathologies.

KW - Brain

KW - Diffusion

KW - Kurtosis

KW - MRI

KW - Neuropathology

KW - Non-Gaussian

UR - http://www.scopus.com/inward/record.url?scp=19544371362&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=19544371362&partnerID=8YFLogxK

U2 - 10.1002/mrm.20508

DO - 10.1002/mrm.20508

M3 - Article

VL - 53

SP - 1432

EP - 1440

JO - Magnetic Resonance in Medicine

JF - Magnetic Resonance in Medicine

SN - 0740-3194

IS - 6

ER -