Influence of Iterative Reconstruction Algorithms on PET Image Resolution

International Conference on Bio-Medical Instrumentation and related Engineering and Physical Sciences

物理学;医药卫生

Karpetas, G.E.^1 ; Michail, C.M.^2 ; Fountos, G.P.^2 ; Valais, I.G.^2 ; Nikolopoulos, D.^3 ; Kandarakis, I.S.^2 ; Panayiotakis, G.S.^1

Department of Medical Physics, Faculty of Medicine, University of Patras, Patras

265 00, Greece^1

Radiation Physics, Materials Technology and Biomedical Imaging Laboratory, Department of Biomedical Engineering, Technological Educational Institute of Athens, Egaleo, Athens

122 10, Greece^2

Department of Computer Electronic Engineering, Technological Education Institute of Piraeus, Petrou Ralli and Thivon 250, Aigaleo, Athens

122 44, Greece^3

关键词: Iterative reconstruction;    Iterative reconstruction algorithms;    Median root priors (MRP);    Modulation transfer function (MTF);    Monte Carlo model;    Ordered subsets separable paraboloidal;    Reconstructed image;    Software for tomographic image reconstruction;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/637/1/012011/pdf
DOI  :  10.1088/1742-6596/637/1/012011

学科分类：卫生学

来源: IOP

【 摘 要 】

The aim of the present study was to assess image quality of PET scanners through a thin layer chromatography (TLC) plane source. The source was simulated using a previously validated Monte Carlo model. The model was developed by using the GATE MC package and reconstructed images obtained with the STIR software for tomographic image reconstruction. The simulated PET scanner was the GE DiscoveryST. A plane source consisted of a TLC plate, was simulated by a layer of silica gel on aluminum (Al) foil substrates, immersed in 18F-FDG bath solution (1MBq). Image quality was assessed in terms of the modulation transfer function (MTF). MTF curves were estimated from transverse reconstructed images of the plane source. Images were reconstructed by the maximum likelihood estimation (MLE)-OSMAPOSL, the ordered subsets separable paraboloidal surrogate (OSSPS), the median root prior (MRP) and OSMAPOSL with quadratic prior, algorithms. OSMAPOSL reconstruction was assessed by using fixed subsets and various iterations, as well as by using various beta (hyper) parameter values. MTF values were found to increase with increasing iterations. MTF also improves by using lower beta values. The simulated PET evaluation method, based on the TLC plane source, can be useful in the resolution assessment of PET scanners.