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

Maxime Descoteaux maxime.descoteaux at gmail.com
Wed Jul 8 13:04:56 CEST 2015

Hi Rafael,

I will try to find the information for you but I fear it will be difficult
as these datasets are at least 4 years old and from an old 1.5T Siemens

You would want TE/TR, delta, Delta, etc? I know that I will not have delta,
Delta. I might be able to find TR, TE and other basic parameters.



On Wed, Jul 8, 2015 at 3:46 AM, Rafael Henriques <rafaelnh21 at gmail.com>

> 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:
> http://gsoc2015dipydki.blogspot.co.uk/2015/07/rnh-post-6-mid-term-summary.html),
> 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:
>  http://gsoc2015dipydki.blogspot.co.uk/2015/07/rnh-post-7-artifacts-in-dipys-sample.html
> <http://gsoc2015dipydki.blogspot.co.uk/2015/07/rnh-post-7-artifacts-in-dipys-sample.html>
> ).
> 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,
> Rafael
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