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

Authors

  • Vencel Somai Budapest University of Technology and Economics
  • David Legrady Budapest University of Technology and Economics
  • Gabor Tolnai Budapest University of Technology and Economics

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

How to Cite

Somai, V., Legrady, D., & Tolnai, G. (2018). SVD ANALYSIS OF BACKPROJECTING OPERATOR OF ML-EM PET IMAGE RECONSTRUCTION. Radiology and Oncology, 52(3). Retrieved from https://radioloncol.com/index.php/ro/article/view/2891

Issue

Vol. 52 No. 3 (2018)

Section

Medical Physics

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