Diffusion kurtosis imaging

Last revised by Rohit Sharma on 8 Dec 2023

Citation, DOI, disclosures and article data

Citation:

Venkatesh M, Sharma R, Gaillard F, et al. Diffusion kurtosis imaging. Reference article, Radiopaedia.org (Accessed on 23 Apr 2024) https://doi.org/10.53347/rID-27405

DOI:

https://doi.org/10.53347/rID-27405

Permalink:

https://radiopaedia.org/articles/27405

rID:

27405

Article created:

2 Feb 2014, Manchikanti Venkatesh

Disclosures:

At the time the article was created Manchikanti Venkatesh had no recorded disclosures.

View Manchikanti Venkatesh's current disclosures

Last revised:

8 Dec 2023, Rohit Sharma ◉

Disclosures:

At the time the article was last revised Rohit Sharma had no financial relationships to ineligible companies to disclose.

View Rohit Sharma's current disclosures

Revisions:

5 times, by 5 contributors - see full revision history and disclosures

Systems:

Central Nervous System

Sections:

Imaging Technology

Tags:

kurtosis, dki

Synonyms:

Diffusion kurtosis imaging (DKI)

Diffusion kurtosis imaging (DKI) is an advanced neuroimaging modality which is an extension of diffusion tensor imaging by estimating the kurtosis (skewed distribution) of water diffusion based on a probability distribution function. It provides a high order diffusion of water distribution and analyzes and also quantifies the diffusion restriction. The kurtosis is a general, dimensionless statistic for quantifying non-gaussianity – that is, the difference from a normal/random distribution – of any distribution. It may be used in the imaging of stroke ⁴.