SVD ANALYSIS OF BACKPROJECTING OPERATOR OF ML-EM PET IMAGE RECONSTRUCTION

Authors

  • Vencel Somai Budapest University of Technology and Economics image/svg+xml
  • David Legrady Budapest University of Technology and Economics image/svg+xml
  • Gabor Tolnai Budapest University of Technology and Economics image/svg+xml

Abstract

We have demonstrated that a full Monte Carlo modelling in the backprojecting step of maximum likelihood expectation maximization image reconstruction of positron emission tomography may lead to deteriorated image quality by decelerating iteration convergence. The reasons behind this apparently anomalous behaviour is analysed in a simplified system by means of singular value decomposition and a new filtering technique is proposed for real systems. Some theoretical considerations for further development are also presented.


Author Biographies

  • Vencel Somai, Budapest University of Technology and Economics
    Institute of Nuclear Techniques, researcher
  • David Legrady, Budapest University of Technology and Economics
    Institute of Nuclear Techniques, associate professor
  • Gabor Tolnai, Budapest University of Technology and Economics
    Institute of Nuclear Techniques, researcher

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Published

2018-09-06

Issue

Vol. 52 No. 3 (2018)

Section

Medical Physics

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How to Cite

SVD ANALYSIS OF BACKPROJECTING OPERATOR OF ML-EM PET IMAGE RECONSTRUCTION. (2018). Radiology and Oncology, 52(3). https://www.radioloncol.com/index.php/ro/article/view/2891