[Neuroimaging] [Dipy] Scanning parameters of Dipy's sample data Sherbrooke's 3 shells

Rafael Henriques rafaelnh21 at gmail.com
Wed Jul 8 09:46:33 CEST 2015

Hi all,

I am currently participating in Google Summer of Code and I am implementing
on Dipy a module for diffusion kurtosis imaging, a technique useful to
probe in vivo tissue heterogeneity and complexity.

Our first results are looking very good (you can see them here:
however when I try to process the Dipy's multi-shell dataset example Sherbrooke
3 shells, kurtosis measures seem to be widely corrupted by implausible high
negative values (black regions on the images of the following link:

Implausible high negative values of kurtosis are a common artifact on DKI,
however, given the data’s b-value and number of gradient directions, I was
not expecting having implausible negative values in almost all brain image
voxels. To try understanding why diffusion kurtosis is not working on this
dataset, I was wondering if anyone knows the full scanning parameters of
this dataset?

Many thanks in advance,

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