Literature DB >> 14523958

Characterization of continuously distributed cortical water diffusion rates with a stretched-exponential model.

Kevin M Bennett1, Kathleen M Schmainda, Raoqiong Tong Bennett, Daniel B Rowe, Hanbing Lu, James S Hyde.   

Abstract

Experience with diffusion-weighted imaging (DWI) shows that signal attenuation is consistent with a multicompartmental theory of water diffusion in the brain. The source of this so-called nonexponential behavior is a topic of debate, because the cerebral cortex contains considerable microscopic heterogeneity and is therefore difficult to model. To account for this heterogeneity and understand its implications for current models of diffusion, a stretched-exponential function was developed to describe diffusion-related signal decay as a continuous distribution of sources decaying at different rates, with no assumptions made about the number of participating sources. DWI experiments were performed using a spin-echo diffusion-weighted pulse sequence with b-values of 500-6500 s/mm(2) in six rats. Signal attenuation curves were fit to a stretched-exponential function, and 20% of the voxels were better fit to the stretched-exponential model than to a biexponential model, even though the latter model had one more adjustable parameter. Based on the calculated intravoxel heterogeneity measure, the cerebral cortex contains considerable heterogeneity in diffusion. The use of a distributed diffusion coefficient (DDC) is suggested to measure mean intravoxel diffusion rates in the presence of such heterogeneity. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 14523958     DOI: 10.1002/mrm.10581

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  139 in total

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9.  Diffusion imaging for therapy response assessment of brain tumor.

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Journal:  Neuroimaging Clin N Am       Date:  2009-11       Impact factor: 2.264

10.  Non-Gaussian diffusion MR imaging of glioma: comparisons of multiple diffusion parameters and correlation with histologic grade and MIB-1 (Ki-67 labeling) index.

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Journal:  Neuroradiology       Date:  2015-10-22       Impact factor: 2.804

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