Dynamic PET Reconstruction on the GPU

  • László Szirmay-Kalos Department of Control Engineering and Information Technology, Budapest University of Technology and Economics, H-1117 Budapest, Magyar Tudósok krt. 2, Hungary
  • Ágota Kacsó Department of Control Engineering and Information Technology, Budapest University of Technology and Economics, H-1117 Budapest, Magyar Tudósok krt. 2, Hungary
  • Milán Magdics Department of Control Engineering and Information Technology, Budapest University of Technology and Economics, H-1117 Budapest, Magyar Tudósok krt. 2, Hungary
  • Balázs Tóth Department of Control Engineering and Information Technology, Budapest University of Technology and Economics, H-1117 Budapest, Magyar Tudósok krt. 2, Hungary

Abstract

Dynamic Positron Emission Tomography (PET) reconstructs the space-time concentration function of a radiotracer by observing the detector hits of gamma-photon pairs born during the radiotracer decay. The computation is based on the maximum likelihood principle, i.e. we look for the space-time function that maximizes the probability of the actual measurements. The number of finite elements representing the spatio-temporal concentration and the number of events detected by the tomograph may be higher than a billion, thus the reconstruction requires supercomputer performance. The enormous computational burden can be handled by graphics processors (GPU) if the algorithm is decomposed to parallel, independent threads, and the storage requirements are kept under control. This paper proposes a scalable dynamic reconstruction system where the algorithm is decomposed to phases where each phase is efficiently mapped onto the massively parallel architecture of the GPU.

Keywords: Positron Emission Tomography (PET), GPGPU, Physics simulation
Published online
2018-12-15
How to Cite
Szirmay-Kalos, L., Kacsó, Ágota, Magdics, M. and Tóth, B. (2018) “Dynamic PET Reconstruction on the GPU”, Periodica Polytechnica Electrical Engineering and Computer Science, 62(4), pp. 134-143. doi: https://doi.org/10.3311/PPee.11739.
Section
Articles