A New Method for Optimizing the Size of Axial FOV in TOF-PEM to Improve Performance of the Scanner

• Published in: Journal of biomedical physics and engineering Vol. 13; no. 5; pp. 471 - 476
• Main Authors: Roshani, Delband, Setayeshi, Saeed
• Format: Journal Article
• Language: English
• Published: Iran Shiraz University of Medical Sciences 01.10.2023
• Subjects: breast neoplasms; gate; monte carlo method; optimization of geometry; Original; positron emission tomography
• ISSN: 2251-7200; 2251-7200
• DOI: 10.31661/jbpe.v0i0.2009-1190

BackgroundPositron 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.ObjectiveThis 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 MethodsIn 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 2.91%, 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.ResultsThe best result is obtained with the axial FOV of 101.7 mm. It has 1.6×1.6×15 mm3 lutetium yttrium orthosilicate (LYSO) crystals. The detector consists of 6 block rings with 30 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 4.65% and 21.2%, respectively, also noise equivalent count rate (NECR) is 105.442 kcps.ConclusionThe results showed 1 up to 3% improvement in the sensitivity of this new detector compared with different PEMs.