[Neuroimaging] FA images Was: Nipy.org new website needs a complete remake

[vanessa sochat]

This week we should perhaps vote/decide on a final framework to port the
nipy site into? I'm open to giving a go at whatever the group thinks is
best :)

On Mon, Aug 3, 2015 at 6:11 AM, Ariel Rokem <arokem at gmail.com> wrote:

>
> 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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>
>
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-- 
Vanessa Villamia Sochat
Stanford University
(603) 321-0676
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