Literature DB >> 22277782

The γ parameter of the stretched-exponential model is influenced by internal gradients: validation in phantoms.

Marco Palombo1, Andrea Gabrielli, Silvia De Santis, Silvia Capuani.   

Abstract

In this paper, we investigate the image contrast that characterizes anomalous and non-gaussian diffusion images obtained using the stretched exponential model. This model is based on the introduction of the γ stretched parameter, which quantifies deviation from the mono-exponential decay of diffusion signal as a function of the b-value. To date, the biophysical substrate underpinning the contrast observed in γ maps, in other words, the biophysical interpretation of the γ parameter (or the fractional order derivative in space, β parameter) is still not fully understood, although it has already been applied to investigate both animal models and human brain. Due to the ability of γ maps to reflect additional microstructural information which cannot be obtained using diffusion procedures based on gaussian diffusion, some authors propose this parameter as a measure of diffusion heterogeneity or water compartmentalization in biological tissues. Based on our recent work we suggest here that the coupling between internal and diffusion gradients provide pseudo-superdiffusion effects which are quantified by the stretching exponential parameter γ. This means that the image contrast of Mγ maps reflects local magnetic susceptibility differences (Δχ(m)), thus highlighting better than T(2)(∗) contrast the interface between compartments characterized by Δχ(m). Thanks to this characteristic, Mγ imaging may represent an interesting tool to develop contrast-enhanced MRI for molecular imaging. The spectroscopic and imaging experiments (performed in controlled micro-beads dispersion) that are reported here, strongly suggest internal gradients, and as a consequence Δχ(m), to be an important factor in fully understanding the source of contrast in anomalous diffusion methods that are based on a stretched exponential model analysis of diffusion data obtained at varying gradient strengths g. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22277782     DOI: 10.1016/j.jmr.2011.12.023

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  3 in total

1.  Influence of the size and curvedness of neural projections on the orientationally averaged diffusion MR signal.

Authors:  Evren Özarslan; Cem Yolcu; Magnus Herberthson; Hans Knutsson; Carl-Fredrik Westin
Journal:  Front Phys       Date:  2018-03-02

2.  Bayesian analysis of transverse signal decay with application to human brain.

Authors:  Mustapha Bouhrara; David A Reiter; Richard G Spencer
Journal:  Magn Reson Med       Date:  2014-09-19       Impact factor: 4.668

3.  Transient Anomalous Diffusion MRI in Excised Mouse Spinal Cord: Comparison Among Different Diffusion Metrics and Validation With Histology.

Authors:  Alessandra Caporale; Giovanni Battista Bonomo; Giulio Tani Raffaelli; Ada Maria Tata; Bice Avallone; Felix Werner Wehrli; Silvia Capuani
Journal:  Front Neurosci       Date:  2022-02-15       Impact factor: 4.677

  3 in total

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