<div dir="ltr">This is perfect, thank you so much.<div><br></div><div>Cheers,</div><div>Greg</div></div><div class="gmail_extra"><br clear="all"><div><div class="gmail_signature"><div dir="ltr"><div>--</div><div>Greg Kiar <<a href="mailto:gkiar07@gmail.com" target="_blank">gkiar07@gmail.com</a>></div></div></div></div>
<br><div class="gmail_quote">On Tue, Dec 1, 2015 at 3:50 PM, bthirion <span dir="ltr"><<a href="mailto:bertrand.thirion@inria.fr" target="_blank">bertrand.thirion@inria.fr</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div text="#000000" bgcolor="#FFFFFF">
<div> Hi Greg,<br>
<br>
You might take at look at <code>nilearn.image.</code><code>resample_img<br>
<a href="https://nilearn.github.io/modules/generated/nilearn.image.resample_img.html" target="_blank">https://nilearn.github.io/modules/generated/nilearn.image.resample_img.html</a><br>
Best,<br>
<br>
Bertrand<br>
</code><div><div class="h5"><br>
On 01/12/2015 18:55, Greg Kiar wrote:<br>
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<blockquote type="cite"><div><div class="h5">
<div dir="ltr">Hi,
<div><br>
</div>
<div>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?</div>
<div><br>
</div>
<div>Thanks so much,</div>
<div>Greg <br clear="all">
<div>
<div>
<div dir="ltr">
<div>--</div>
<div>Greg Kiar <<a href="mailto:gkiar07@gmail.com" target="_blank">gkiar07@gmail.com</a>></div>
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