[Neuroimaging] [DIPY] propagator anisotropy estimation using MAP(L)MRI
fick.rutger at gmail.com
Sun Apr 22 18:10:06 EDT 2018
Great to hear you're trying the toolbox!
Thanks for pointing out the bug, I just fixed it in the repository, so you
should be able to load the gradient directions without having the error now.
Dmipy is completely general in that it can import any PGSE-based
acquisition scheme with any number of non-diffusion weighted volumes. Dmipy
internally normalizes the signal according to the mean of all b0-values,
and automatically detects which measurements belong to the same acquisition
Let me know if you have any more questions or just generally what your
experience is using dmipy :-)
On 21 April 2018 at 19:54, Ping-Hong Yeh <pinghongyeh at gmail.com> wrote:
> Hi Rutger,
> The failure was caused by multiple [ 0 0 0] arrays in the gradient table
> that were used for acquiring non-diffusion weighted volumes. It started
> running after I modified the gradient table by adding 1 to the z-direction
> of [ 0 0 0] to become [ 0 0 1].
> Can dmipy import the gradient DWI volumes with multiple non-diffusion
> weighted volumes interspersed in-between?
> Thank you.
> Neuroimaging mailing list
> Neuroimaging at python.org
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