Delband Roshani - Department of Energy Engineering and Physics, Amirkabir University of Technology, Tehran, Iran
Saeed Setayeshi - Department of Energy Engineering and Physics, Amirkabir University of Technology, Tehran, Iran

Background: Positron Emission Mammography (PEM) is a nuclear medicine imaging tool, playing a significant role in the diagnosis of patients with breast cancer. These days, many research has been done in order to improve the performance of this system.Objective: This study aims to propose a new method for optimizing the size of axial Field of View (FOV) in PEMs and improving the performance of the systems.Material and Methods: In this analytical study, a conventional Inveon PET is simulated using GATE in order to validate the simulation. For this simulation, the mean relative difference is ۲.۹۱%, showing the precision and correction of simulation and consequently it is benchmarked. In the next step, for design of the new optimized detector, several validated simulations are performed in order to find the best geometry.Results: The best result is obtained with the axial FOV of ۱۰۱.۷ mm. It has ۱.۶×۱.۶×۱۵ mm۳ lutetium yttrium orthosilicate (LYSO) crystals. The detector consists of ۶ block rings with ۳۰ detector blocks in each ring. In this paper, the performance of the scanner is improved and the geometry is optimized. Sensitivity and scatter fraction of the designed scanner are ۴.۶۵% and ۲۱.۲%, respectively, also noise equivalent count rate (NECR) is ۱۰۵.۴۴۲ kcps. Conclusion: The results showed ۱ up to ۳% improvement in the sensitivity of this new detector compared with different PEMs.

Positron emission tomography, Breast neoplasms, Monte Carlo Method, Optimization of geometry, GATE