Quantitative evaluation of TOF benefits indifferent tumor regions of Overweight patients in clinical PET/CT scanner

Introduction: Using TOF information in image reconstruction reduce the noise propagation along the LOR during forward and back projection of the data, and improve the image signal-to-noise ratio (SNR) of PET scanners. This improvement is dependent on the scintillator decay time, time response of coincidence circuits and front-end electronics. The goals of this study were to evaluate the benefits of time of flight (TOF) in clinical PET/CT images of overweight patients in relation to the tumor-to-background ratios, and to determine what SNR gains in PET performance could be achieved. Materials and Methods: 32 overweight patient studies with normal 18F-fluoro-deoxyglucose (18F-FDG) uptake were chosen. FDG-PET/CT imaging was performed on the LYSO-based PET component of Discovery RX PET/CT scanner. Various tumor sizes in different locations of the thorax and abdomen in PET images have been investigated. The PET data were reconstructed with the baseline ordered-subsets expectation maximization (OSEM) algorithm+ PSF model and OSEM + PSF + TOF model. The image quality was evaluated using AMIDE to estimate the SNR, contrast, coefficient of variation(COV), and the standardized uptake values (𝑆𝑈𝑉𝑚𝑎𝑥). The results were then subjectively analyzed as a function of patient body-mass index (25

Keywords:

• Coefficient of variation
• Overweight
• Lyso-
• Scanner
• Nuclear medicine
• Expectation–maximization algorithm
• Image quality
• Iterative reconstruction
• PET-CT
• Medicine

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