[Neuroimaging] [Dipy] Scanning parameters of Dipy's sample data Sherbrooke's 3 shells
maxime.descoteaux at gmail.com
Thu Jul 23 22:55:21 CEST 2015
I unfortunately have no trace of the DICOM data anymore.
All I can tell you is that it is 1.5T, Siemens Magnetom, 2mm isotropic. The
TR/TE must have been fixed for the maximal b-value, which explains a lower
SNR at smaller shells that you are probably used to see.
Also, all directions are the same at each shell.
It would be quite easy to share a new dataset from our Philips 3T if you
On Thu, Jul 9, 2015 at 1:57 PM, Rafael Henriques <rafaelnh21 at gmail.com>
> Hi Max,
> Thanks for your fast reply.
> Indeed kurtosis values depend on Delta/delta (e.g.
> http://www.ncbi.nlm.nih.gov/pubmed/23536232), however knowing only the
> basic parameters as TE/TR and voxel resolution should be enough to
> understand what is going wrong with this dataset.
> I think that the problem here might be an insufficient SNR for fitting the
> diffusion kurtosis model. From previous datasets that I analysed, I was
> able to obtain decent DKI reconstructions using similar gradient directions
> and b-values, however this was done on a 3T Siemens using a 32 coil head
> I will give a look to the datasets SNR estimates.
> Thanks for your help =),
> Neuroimaging mailing list
> Neuroimaging at python.org
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