GPU-Based Image Geodesics for Optical Coherence Tomography

  • Benjamin Berkels
  • Michael Buchner
  • Alexander Effland
  • Martin Rumpf
  • Steffen Schmitz-Valckenberg
Conference paper
Part of the Informatik aktuell book series (INFORMAT)

Abstract

Within a manifold framework, the interpolation of tomographic image time series is investigated. To this end, the metamorphosis model of a manifold of images is taken into account. Based on a variational time discretization, discrete geodesic paths in this space of images are computed. The space discretization is based on finite elements spanned by tensor product cubic B-splines. An efficient implementation is obtained by utilizing graphics hardware and a proper combination of GPU and CPU computation. First results for time series of optical coherence tomography images of a macular degeneration demonstrate the applicability of this geometric concept.

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Copyright information

© Springer-Verlag GmbH Deutschland 2017

Authors and Affiliations

  • Benjamin Berkels
    • 1
  • Michael Buchner
    • 2
  • Alexander Effland
    • 2
  • Martin Rumpf
    • 2
  • Steffen Schmitz-Valckenberg
    • 3
  1. 1.AICES Graduate SchoolRWTH Aachen UniversityAachenDeutschland
  2. 2.Institute for Numerical SimulationUniversity of BonnBonnDeutschland
  3. 3.Department of OphthalmologyUniversity of BonnBonnDeutschland

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