Literature DB >> 28287079

Influences of 3D PET scanner components on increased scatter evaluated by a Monte Carlo simulation.

Yoshiyuki Hirano1, Kazuhiro Koshino, Hidehiro Iida.   

Abstract

Monte Carlo simulation is widely applied to evaluate the performance of three-dimensional positron emission tomography (3D-PET). For accurate scatter simulations, all components that generate scatter need to be taken into account. The aim of this work was to identify the components that influence scatter. The simulated geometries of a PET scanner were: a precisely reproduced configuration including all of the components; a configuration with the bed, the tunnel and shields; a configuration with the bed and shields; and the simplest geometry with only the bed. We measured and simulated the scatter fraction using two different set-ups: (1) as prescribed by NEMA-NU 2007 and (2) a similar set-up but with a shorter line source, so that all activity was contained only inside the field-of-view (FOV), in order to reduce influences of components outside the FOV. The scatter fractions for the two experimental set-ups were, respectively, 45% and 38%. Regarding the geometrical configurations, the former two configurations gave simulation results in good agreement with the experimental results, but simulation results of the simplest geometry were significantly different at the edge of the FOV. From the simulation of the precise configuration, the object (scatter phantom) was the source of more than 90% of the scatter. This was also confirmed by visualization of photon trajectories. Then, the bed and the tunnel were mainly the sources of the rest of the scatter. From the simulation results, we concluded that the precise construction was not needed; the shields, the tunnel, the bed and the object were sufficient for accurate scatter simulations.

Mesh:

Year:  2017        PMID: 28287079     DOI: 10.1088/1361-6560/aa6644

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  2 in total

Review 1.  Applications of artificial intelligence in nuclear medicine image generation.

Authors:  Zhibiao Cheng; Junhai Wen; Gang Huang; Jianhua Yan
Journal:  Quant Imaging Med Surg       Date:  2021-06

2.  Evaluation of [18F]F-DPA PET for Detecting Microglial Activation in the Spinal Cord of a Rat Model of Neuropathic Pain.

Authors:  Tove J Grönroos; Hidehiro Iida; Saeka Shimochi; Thomas Keller; Ella Kujala; Joonas Khabbal; Johan Rajander; Eliisa Löyttyniemi; Olof Solin; Pirjo Nuutila; Shigehiko Kanaya; Emrah Yatkin
Journal:  Mol Imaging Biol       Date:  2022-03-18       Impact factor: 3.484

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.