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The Visual Computer

, Volume 33, Issue 3, pp 331–342 | Cite as

Volume enhancement with externally controlled anisotropic diffusion

  • László Szirmay-KalosEmail author
  • Milán Magdics
  • Balázs Tóth
Original Article
  • 265 Downloads

Abstract

This paper proposes a method to enhance volumetric data using anisotropic diffusion controlled by another voxel array representing the same object with different physical quantities. The main application of this approach is to enhance volumetric functional data (obtained e.g. with PET or SPECT) based on anatomic (e.g. CT or MRI) information. Enhancement includes noise removal, sharpening and resolution upsampling. As different modalities measure different physical quantities that may or may not be correlated, enhancement must be carefully designed not to introduce spurious features that are present only in one modality. Forward diffusion working with non-negative diffusivity guarantees this kind of causality but also limits the potential of enhancement. To allow the preservation or even the increase of the dynamic range, diffusion should also go backwards. Therefore, we propose a forward–backward diffusion scheme for the enhancement where stability and the avoidance of spurious features are provided by the automatic determination of parameters controlling the diffusion process.

Keywords

Medical imaging Upsampling Noise filtering Sharpening Anisotropic diffusion 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • László Szirmay-Kalos
    • 1
    Email author
  • Milán Magdics
    • 1
  • Balázs Tóth
    • 1
  1. 1.Budapest University of Technology and EconomicsBudapestHungary

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