Monte Carlo simulation of the system performance of a long axial field-of-view PET based on monolithic LYSO detectors.
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BACKGROUND: In light of the milestones achieved in PET design so far, further sensitivity improvements aim to optimise factors such as the dose, throughput, and detection of small lesions. While several longer axial field-of-view (aFOV) PET systems based on pixelated detectors have been installed, continuous monolithic scintillation detectors recently gained increased attention due to their depth of interaction capability and superior intrinsic resolution. As a result, the aim of this work is to present and evaluate the performance of two long aFOV, monolithic LYSO-based PET scanner designs. METHODS: Geant4 Application for Tomographic Emission (GATE) v9.1 was used to perform the simulations. Scanner designs A and B have an aFOV of 36.2cm (7 rings) and 72.6cm (14 rings), respectively, with 40 detector modules per ring each and a bore diameter of 70cm. Each module is a 505016mm3 monolithic LYSO crystal. Sensitivity, noise equivalent count rate(NECR), scatter fraction, spatial resolution, and image quality tests were performed based on NEMA NU-2018 standards. RESULTS: The sensitivity of design A was calculated to be 29.2kcps/MBq at the centre and 27kcps/MBq at 10cm radial offset; similarly, the sensitivity of design B was found to be 106.8kcps/MBq and 98.3kcps/MBq at 10cm radial offset. NECR peaks were reached at activity concentrations beyond the range of activities used for clinical studies. In terms of spatial resolution, the values for the point sources were below 2mm for the radial, tangential, and axial full width half maximum. The contrast recovery coefficient ranged from 53% for design B and 4:1 contrast ratio to 90% for design A and 8:1 ratio, with a reasonably low background variability. CONCLUSIONS: Longer aFOV PET designs using monolithic LYSO have superior spatial resolution compared to current pixelated total-body PET (TB-PET) scanners. These systems combine high sensitivity with improved contrast recovery.
