[Neuroimaging] noise estimation in non diffusion datasets

[Ariel Rokem]

Hi Samuel,

On Sat, Jul 29, 2017 at 10:10 PM, Samuel St-Jean <stjeansam at gmail.com>
wrote:

> Hello,
>
> I've been trying out some stuff recently with another guy on 'legacy'
> datasets, which comprise CT scans and stuff like T1w which are 0.8x0.8x8
> mm. Unsurprisingly, they also have huge gradient intensity since these
> things dates back from when I started high school. Anyway, they also have
> diffusion data and noise estimation stuff works kind of ok, but the other
> weighting and modality are mostly a no go or perhaps could be done way
> better) using the diffusion tools we have now.
>
> So far I've also tried an aonlm-like noise estimator, but I was wondering
> if people working with all types of datasets (I am mostly a diffusion mri
> person in the first place) had suggestions about good or commonly used
> noise estimator and where to find them? Most likely candidate for that
> would be the fmri guys I'd guess, and of course those scans did not have
> a/some noise maps back in the days.
>
>
You may be interested in this model-based approach:

http://journal.frontiersin.org/article/10.3389/fnins.2013.00247/full

It's somewhat related to this DWI method:
https://pdfs.semanticscholar.org/8e89/03f8092c27d159879a3a2429a771d21b7be8.pdf


Cheers,

Ariel


> Thanks for the help and pointers,
>
> Samuel
>
>
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