Diffusional kurtosis imaging: The quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Jensen, J. H., Helpern, J. A., Ramani, A., Lu, H., & Kaczynski, K. Magnetic Resonance in Medicine, 53(6):1432–1440, 2005.
Diffusional kurtosis imaging: The quantification of non-gaussian water diffusion by means of magnetic resonance imaging [link]Paper  doi  abstract   bibtex   
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. Magn Reson Med 53:1432–1440, 2005. © 2005 Wiley-Liss, Inc.
@article{jensen_diffusional_2005,
	title = {Diffusional kurtosis imaging: {The} quantification of non-gaussian water diffusion by means of magnetic resonance imaging},
	volume = {53},
	copyright = {Copyright © 2005 Wiley-Liss, Inc.},
	issn = {1522-2594},
	shorttitle = {Diffusional kurtosis imaging},
	url = {http://onlinelibrary.wiley.com/doi/10.1002/mrm.20508/abstract},
	doi = {10.1002/mrm.20508},
	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. Magn Reson Med 53:1432–1440, 2005. © 2005 Wiley-Liss, Inc.},
	language = {en},
	number = {6},
	urldate = {2013-04-03},
	journal = {Magnetic Resonance in Medicine},
	author = {Jensen, Jens H. and Helpern, Joseph A. and Ramani, Anita and Lu, Hanzhang and Kaczynski, Kyle},
	year = {2005},
	keywords = {Brain, Diffusion, MRI, kurtosis, neuropathology, non-Gaussian},
	pages = {1432--1440},
}

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