Reliability of the diffusion indexes derived from fast diffusion kurtosis imaging

Diffusion kurtosis (DK) imaging is an extended diffusion MR imaging technique that permits evaluation of diffusion heterogeneity, a common characteristic of biological tissue that causes non-Gaussian diffusion. Jensen and coworkers recently proposed a fast DK imaging method based on 3-b-value acquisition and closed-form expressions. Although time efficient, the method may be prone to extreme variability of a single data point (as compared with to relatively time-consuming fitting over multiple data points). In this study, we investigated the variability of the indexes derived with fast DK imaging in the context of signal-to-noise ratio. The sensitivity of the indexes was compared with the corresponding indexes derived from the stretched exponential model imaging, another extended diffusion imaging technique.

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