Medical Imaging Image Quality Assessment with Monte Carlo Methods

4th International Conference on Mathematical Modeling in Physical Sciences

物理学;数学

Michail, C.M.^1 ; Karpetas, G.E.^2 ; Fountos, G.P.^1 ; Kalyvas, N.I.^1 ; Martini, Niki^2 ; Koukou, Vaia^2 ; Valais, I.G.^1 ; Kandarakis, I.S.^1

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

122 10, Greece^1

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

265 00, Greece^2

关键词: GATE;    Image quality assessment;    Iterative reconstruction;    Modulation transfer function (MTF);    Monte Carlo model;    Reconstructed image;    Software for tomographic image reconstruction;    STIR;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/633/1/012096/pdf
DOI  :  10.1088/1742-6596/633/1/012096

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, with cluster computing. The PET scanner simulated in this study 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 algorithm. OSMAPOSL reconstruction was assessed by using various subsets (3 to 21) and iterations (1 to 20), as well as by using various beta (hyper) parameter values. MTF values were found to increase up to the 12th iteration whereas remain almost constant thereafter. MTF improves by using lower beta values. The simulated PET evaluation method based on the TLC plane source can be also useful in research for the further development of PET and SPECT scanners though GATE simulations.