[Camino-users] Spatially varying sigma

[djpeters at u.washington.edu]

Hmm, that's interesting - you would have to scale the B0 also, right? Would there be any implications for the derived ADC values? What about doing tractography from such a scaled data set?

On Wed, 22 Apr 2015, Slater David wrote:

> Hi,
>
> If you want to account for this I think you could just scale your raw DWI data if you have a noise map in the same space.
>
> Perform the DWI distortion correction then divide the DWIs by the non-uniform noise std-map. In this way signal is scaled to match noise across the image and you can just give a noise std of 1 to camino (assuming your noise map was the std in each voxel).
>
> Might need a little testing but it should work.
>
> Best,
> David
>
>
> -----Message d'origine-----
> De : camino-users-bounces at www.nitrc.org [mailto:camino-users-bounces at www.nitrc.org] De la part de djpeters at u.washington.edu
> Envoyé : 21 April 2015 19:24
> À : camino-users at public.nitrc.org
> Objet : [Camino-users] Spatially varying sigma
>
> Hello camino users,
>
>    Is there any way to give RESTORE an image of sigma values, to take into account the spatially varying noise level due to parallel acquisition (i.e.
> more noisy in the middle, less on the sides).
>
> Thanks,
> -Dan Peterson
>
>
>
>
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