Publication
Title
Diffusion kurtosis imaging
Author
Abstract
Diffusion kurtosis imaging (DKI) is a recent imaging method that probes the diffusion of water molecules. Whereas diffusion tensor imaging (DTI) models the diffusion as a 3D Gaussian function, DKI takes it one step further by additionally quantifying the degree of non-Gaussian diffusion. DKI diffusion parameters have been shown to yield clinically relevant information that is not captured by a more conventional DTI model. Thanks to the increase of clinical applications, DKI is becoming increasingly popular in neuroimaging. In this chapter, we will review the basics of DKI. Furthermore, we explain how DKI parameters can be estimated with the highest precision and accuracy. Finally, we discuss some applications of DKI.
Language
German
Source (book)
Diffusion tensor imaging : a practical handbook / Hecke, Van, Wim [edit.]; et al.
Publication
New York, N.Y. : Springer, 2016
ISBN
978-1-4939-3117-0
Volume/pages
p. 407-418
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identification
Creation 12.05.2016
Last edited 22.11.2016
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