[Neuroimaging] FA images Was: Nipy.org new website needs a complete remake
Ariel Rokem
arokem at gmail.com
Mon Aug 3 15:11:20 CEST 2015
On Wed, Jul 29, 2015 at 8:38 PM, David Moreno-Dominguez <d.mor.dom at gmail.com
> wrote:
> Doesnt Dipy already do this? (be open source and compute FA images
> [and much more] from any dwi dataset)
Absolutely - I was being ironic.
But I will admit that irony doesn't travel well by email.
> On Wed, Jul 29, 2015 at 8:06 PM, Ariel Rokem <arokem at gmail.com> wrote:
> >
> > On Mon, Jul 27, 2015 at 10:44 AM, Gael Varoquaux
> > <gael.varoquaux at normalesup.org> wrote:
> >>
> >> On Mon, Jul 27, 2015 at 08:56:08AM -0700, Ariel Rokem wrote:
> >> > PS: Vanessa: Nilearn is not only for fMRI. It's for statistical
> >> > analysis
> >> > of images. It is also used for anatomical images:
> >> >
> http://nilearn.github.io/auto_examples/decoding/plot_oasis_vbm.html
> >> > If we could get a preprocessed, openly downloadable set of images
> of
> >> > eg
> >> > FA, we would do an example with diffusion too.
> >>
> >> > Completely off-topic, but I can't resist: if only there was an
> >> > open-source project that computed FA images from freely available
> >> > diffusion MRI data-sets!
> >>
> >> Well, you're welcome to help us with preprocessing and pitching a
> >> relevant prediction problem from this data. I know nothing about
> >> diffusion and nothing about the datasets you are talking about. In my
> >> experience, writing a relevant example requires understanding the data
> >> and the questions. If you, or someone else, gets us to the point where
> >> there is a set of nifti images of FA with condition A and condition B,
> >> and helps us write the story, than we have an example.
> >
> >
> > Hmm. Interesting idea. I am looking around for something along these
> lines.
> > I think that there are some freely available data-sets that are already
> > preprocessed, so could be used in this way. Let me think about how to go
> > about this.
> >
> >>
> >> Gaël
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> >
> >
> >
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