[Insight-users] Interpolating over multiple images

[Andriy Fedorov]

On Tue, Apr 6, 2010 at 14:45, Nick Tustison <ntustison at wustl.edu> wrote:
> Hi Andriy,
> Have you thought about using the
> itkBSplineScatteredDataPointSetToImageFilter?

Hi Nick,

Yes, I did think about this.

However, the volumes are quite large, and, if I understand correctly
how this will be implemented, I would need to add voxel
coordinates/value pair for each voxel in each of the image to the
point set to initialize the bspline filter. Please correct me if I am
wrong. I was wondering, if there is an approach, which would just take
an arbitrary number of images, and would do interpolation by reading
directly from those images.

Perhaps such filter can be derived from the functionality already
present in itkBSplineScatteredDataPointSetToImageFilter.

In any case, I am working on implementing the approach based on your
filter right now. Let's see how this goes.

Thanks for the reply!

AF



> Nick
> On Tue, Apr 6, 2010 at 1:40 PM, Andriy Fedorov <fedorov at bwh.harvard.edu>
> wrote:
>>
>> Hi,
>>
>> I have several MRI volumes of the same anatomy, which have been
>> spatially aligned. These volumes have been acquired using different
>> (orthogonal) acquisition direction, so they have thick slices, but in
>> orthogonal planes with respect to each other.  I would like to
>> construct one volume, which would essentially combine the input
>> volumes, interpolate over the multiple input volumes to produce an
>> image of better resolution.
>>
>> Is there something in ITK that could be used to help me in solving
>> this problem? It seems I need to do some sort of weighted averaging
>> over the neighboring voxels from the input volumes. Can anyone suggest
>> how to approach this problem?
>>
>> Thanks
>>
>> Andriy Fedorov
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