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

  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},
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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This paper proposes a PSF-aware slice-to-volume registration approach and demonstrates the potential benefit of Super-Resolution for upper abdominal imaging and achieves promising results towards replacing currently required CT scans.
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Brain Perfusion, Regional Volumes, and Cognitive Function in Human Immunodeficiency Virus–positive Patients Treated With Protease Inhibitor Monotherapy
  • L. Haddow, C. Godi, H. Jäger
  • Medicine, Biology
    Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
  • 2019
PIM does not confer an additional risk of neurological injury compared with triple therapy, and there were correlations between fine motor impairment, grey matter hypoperfusion, and white matter volume loss.


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Scale-Space for Discrete Signals
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    IEEE Trans. Pattern Anal. Mach. Intell.
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The proper way to apply the scale-space theory to discrete signals and discrete images is by discretization of the diffusion equation, not the convolution integral.