Literature DB >> 24370162

Diffusion kurtosis imaging: an emerging technique for evaluating the microstructural environment of the brain.

Andrew J Steven1, Jiachen Zhuo, Elias R Melhem.   

Abstract

OBJECTIVE: Diffusion kurtosis imaging is an emerging technique based on the non-gaussian diffusion of water in biologic systems. The purpose of this article is to introduce and discuss the ongoing research and potential clinical applications of this technique.
CONCLUSION: Diffusion kurtosis imaging provides independent and complementary information to that acquired with traditional diffusion techniques. The additional information is thought to indicate the complexity of the microstructural environment of the imaged tissue and may lead to broad-reaching applications in all aspects of neuroradiology.

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Year:  2014        PMID: 24370162     DOI: 10.2214/AJR.13.11365

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  93 in total

1.  Non-Gaussian diffusion MRI of gray matter is associated with cognitive impairment in multiple sclerosis.

Authors:  M Bester; J H Jensen; J S Babb; A Tabesh; L Miles; J Herbert; R I Grossman; M Inglese
Journal:  Mult Scler       Date:  2014-11-12       Impact factor: 6.312

2.  Comparison of image sensitivity between conventional tensor-based and fast diffusion kurtosis imaging protocols in a rodent model of acute ischemic stroke.

Authors:  Yin Wu; Jinsuh Kim; Suk-Tak Chan; Iris Yuwen Zhou; Yingkun Guo; Takahiro Igarashi; Hairong Zheng; Gang Guo; Phillip Zhe Sun
Journal:  NMR Biomed       Date:  2016-02-26       Impact factor: 4.044

3.  Diffusion Kurtosis Imaging Detects Microstructural Alterations in Brain of α-Synuclein Overexpressing Transgenic Mouse Model of Parkinson's Disease: A Pilot Study.

Authors:  Amit Khairnar; Peter Latta; Eva Drazanova; Jana Ruda-Kucerova; Nikoletta Szabó; Anas Arab; Birgit Hutter-Paier; Daniel Havas; Manfred Windisch; Alexandra Sulcova; Zenon Starcuk; Irena Rektorova
Journal:  Neurotox Res       Date:  2015-07-08       Impact factor: 3.911

4.  Minimal hepatic encephalopathy in children with liver cirrhosis: diffusion-weighted MR imaging and proton MR spectroscopy of the brain.

Authors:  Ahmed Abdel Khalek Abdel Razek; Ahmed Abdalla; Amany Ezzat; Ahmed Megahed; Tarek Barakat
Journal:  Neuroradiology       Date:  2014-07-25       Impact factor: 2.804

5.  Accuracy of diffusion kurtosis imaging in characterization of breast lesions.

Authors:  Alexandra Christou; Abraham Ghiatas; Dimitrios Priovolos; Konstantia Veliou; Haralambos Bougias
Journal:  Br J Radiol       Date:  2017-04-06       Impact factor: 3.039

6.  Diffusion-weighted breast imaging.

Authors:  K Deike-Hofmann; T Kuder; F König; D Paech; C Dreher; S Delorme; H-P Schlemmer; S Bickelhaupt
Journal:  Radiologe       Date:  2018-11       Impact factor: 0.635

7.  N-acetyl-aspartate levels correlate with intra-axonal compartment parameters from diffusion MRI.

Authors:  Elan J Grossman; Ivan I Kirov; Oded Gonen; Dmitry S Novikov; Matthew S Davitz; Yvonne W Lui; Robert I Grossman; Matilde Inglese; Els Fieremans
Journal:  Neuroimage       Date:  2015-05-30       Impact factor: 6.556

8.  Mean Diffusional Kurtosis in Patients with Glioma: Initial Results with a Fast Imaging Method in a Clinical Setting.

Authors:  A Tietze; M B Hansen; L Østergaard; S N Jespersen; R Sangill; T E Lund; M Geneser; M Hjelm; B Hansen
Journal:  AJNR Am J Neuroradiol       Date:  2015-05-14       Impact factor: 3.825

9.  MK-curve - Characterizing the relation between mean kurtosis and alterations in the diffusion MRI signal.

Authors:  Fan Zhang; Lipeng Ning; Lauren J O'Donnell; Ofer Pasternak
Journal:  Neuroimage       Date:  2019-04-10       Impact factor: 6.556

Review 10.  Discriminating VCID subgroups: A diffusion MRI multi-model fusion approach.

Authors:  Rajikha Raja; Arvind Caprihan; Gary A Rosenberg; Srinivas Rachakonda; Vince D Calhoun
Journal:  J Neurosci Methods       Date:  2020-01-28       Impact factor: 2.390

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