Scale Factor Point Spread Function Matching: Beyond Aliasing in Image Resampling

@inproceedings{Cardoso2015ScaleFP,
  title={Scale Factor Point Spread Function Matching: Beyond Aliasing in Image Resampling},
  author={Manuel Jorge Cardoso and Marc Modat and Tom Kamiel Magda Vercauteren and S{\'e}bastien Ourselin},
  booktitle={MICCAI},
  year={2015}
}
Imaging devices exploit the Nyquist-Shannon sampling theorem to avoid both aliasing and redundant oversampling by design. Conversely, in medical image resampling, images are considered as continuous functions, are warped by a spatial transformation, and are then sampled on a regular grid. In most cases, the spatial warping changes the frequency characteristics of the continuous function and no special care is taken to ensure that the resampling grid respects the conditions of the sampling… 
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