[ITK] [ITK-users] Super-resolution resampling

[Gavin Baker]

Hello!

I have a time series of 3D data (relatively low resolution), captured in
sequence, with small positional changes (eg. translation). I would like
to perform a super-resolution resampling by first co-registering each
volumetric dataset (using rigid registration) in order to reduce noise
and improve detail.

Is there a registration process that is 1:N (fixed:moving)?

Or is the recommended method to pick a fixed image (ie. #0) and register
each 1..N individually to it?

Given a set of transforms that map each of the 1..N moving images back
to the fixed image for registration, is it possible to then resample the
volume at a higher spatial resolution, combining all image data? IOW
super-resolution resampling?

I tried searching for the above and didn't have much luck finding
relevant info.

Thanks -

  :: Gavin
_____________________________________
Powered by www.kitware.com

Visit other Kitware open-source projects at
http://www.kitware.com/opensource/opensource.html

Kitware offers ITK Training Courses, for more information visit:
http://www.kitware.com/products/protraining.php

Please keep messages on-topic and check the ITK FAQ at:
http://www.itk.org/Wiki/ITK_FAQ

Follow this link to subscribe/unsubscribe:
http://public.kitware.com/mailman/listinfo/insight-users