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
¦Ã 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
¦Ã maps, in other words, the biophysical interpretation of the
¦Ã parameter (or the fractional order derivative in space,
¦Â 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
¦Ã 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
¦Ã. This means that the image contrast of
M¦Ã maps reflects local magnetic susceptibility differences (¦¤¦Ö
m), thus highlighting better than contrast the interface between compartments characterized by ¦¤
¦Öm. Thanks to this characteristic,
M¦Ã 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 ¦¤¦Öm, 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.