title: Resizing a 3D image (and resampling)
body: <p>I have 3D image of a brain (let's call it flash) and it's currently 263 x 256 x 185. I want to resize it to be the size of another image(call it whole_brain_bravo); 256 x 256 x 176, and (hopefully) use a lanczos interpolation to resample (Image.ANTIALIAS). My (failed) attempt:</p>
  
  <pre><code>from scipy import ndimage as nd
  import nibabel as nib
  import numpy as np
  
  
  
  a = nib.load('flash.hdr') # nib is what I use to load the images
  b = nib.load('whole_brain_bravo.hdr')
  
  flash = a.get_data() # Access data as array (in this case memmap)
  whole = b.get_data()
  
  downed = nd.interpolation.zoom(flash, zoom=b.shape) # This obviously doesn't work
  </code></pre>
  
  <p>Have you guys ever done this sort of thing on a 3D image?  </p>