[Neuroimaging] Aligning low and high resolution images in voxel space

[Greg Kiar]

This is perfect, thank you so much.

Cheers,
Greg

--
Greg Kiar <gkiar07 at gmail.com>

On Tue, Dec 1, 2015 at 3:50 PM, bthirion <bertrand.thirion at inria.fr> wrote:

>     Hi Greg,
>
> You might take at look at nilearn.image.resample_img
> https://nilearn.github.io/modules/generated/nilearn.image.resample_img.html
> Best,
>
> Bertrand
>
> On 01/12/2015 18:55, Greg Kiar wrote:
>
> Hi,
>
> I'm working with various parcellations of the brain which have been
> defined at a 3mm resolution, though my data exists in a 1mm space (the
> MNI152 space). When opening these images with a nifti viewer it is fine as
> the affine transform maps them properly to scale. However, when I'm working
> with data in python I would like my labels defined at 3mm to be in the
> MNI152 space (that they also overlap in voxel space, as well). I would like
> to write a script that "ingests" a low resolution (3mm) atlas into the 1mm
> MNI152 space, and nearest-neighbor interpolates values not defined, if you
> will. Do you know how I can easily do this?
>
> Thanks so much,
> Greg
> --
> Greg Kiar <gkiar07 at gmail.com>
>
>
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>
>
>
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