Optimum filter selection for Dual Energy X-ray Applications through Analytical Modeling

4th International Conference on Mathematical Modeling in Physical Sciences

物理学;数学

Koukou, V.^1 ; Martini, N.^1 ; Michail, C.^2 ; Sotiropoulou, P.^1 ; Kalyvas, N.^2 ; Kandarakis, I.^2 ; Nikiforidis, G.^1 ; Fountos, G.^2

Department of Medical Physics, Medical School, 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

关键词: Acquisition parameters;    Breast calcifications;    Breast imaging system;    Dual-energy X-ray;    High-energy beams;    Mean glandular dose;    Simulation studies;    Spectral combination;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/633/1/012093/pdf
DOI  :  10.1088/1742-6596/633/1/012093

来源: IOP

【 摘 要 】

In this simulation study, an analytical model was used in order to determine the optimal acquisition parameters for a dual energy breast imaging system. The modeled detector system, consisted of a 33.91mg/cm2Gd2O2S:Tb scintillator screen, placed in direct contact with a high resolution CMOS sensor. Tungsten anode X-ray spectra, filtered with various filter materials and filter thicknesses were examined for both the low- and high-energy beams, resulting in 3375 combinations. The selection of these filters was based on their K absorption edge (K-edge filtering). The calcification signal-to-noise ratio (SNRtc) and the mean glandular dose (MGD) were calculated. The total mean glandular dose was constrained to be within acceptable levels. Optimization was based on the maximization of the SNRtc/MGD ratio. The results showed that the optimum spectral combination was 40kVp with added beam filtration of 100 μm Ag and 70kVp Cu filtered spectrum of 1000 μm for the low- and high-energy, respectively. The minimum detectable calcification size was 150 μm. Simulations demonstrate that this dual energy X-ray technique could enhance breast calcification detection.