Pearson set of distributions as improved signal model for diffusion kurtosis imaging
نویسندگان
چکیده
Introduction Diffusion kurtosis imaging is a new method to estimate the non gaussianity of the diffusion process with diffusion weighted MR images (DWIs) [1]. The model of the DWIs suggested in [1] was based on the Taylor series expansion of the logarithm of the DW magnitude. Unfortunately, this Taylor approximation is only valid for small b-values and leads to diverging predicted DW magnitudes when the kurtosis is positive and the b-value is large, see figure 1.
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