Diffusional kurtosis imaging: The quantification of non-gaussian water diffusion by means of magnetic resonance imaging
β Scribed by Jens H. Jensen; Joseph A. Helpern; Anita Ramani; Hanzhang Lu; Kyle Kaczynski
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 980 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0740-3194
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β¦ Synopsis
Abstract
A magnetic resonance imaging method is presented for quantifying the degree to which water diffusion in biologic tissues is nonβGaussian. 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 diffusionβweighted 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 qβspace 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. Magn Reson Med 53:1432β1440, 2005. Β© 2005 WileyβLiss, Inc.
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