Monte Carlo simulation of Ray-Scan 64 PET system and performance evaluation using GATE toolkit

Li, Suying; Zhang, Qiushi; Vuletic, Ivan; Xie, Zhaoheng; Yang, Kun; Ren, Qiushi

doi:10.1088/1748-0221/12/02/t02001

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…In this paper, the open-source Geant4 nuclear medicine software package GATE 8.0 is used for the simulation experiment [17][18][19]. GATE generates complex geometric structures through the combination of simple shapes.…”

Section: System Simulationmentioning

confidence: 99%

Research on system response matrix modelling method of rectangular PET scanner based on Monte Carlo simulation

Deng¹,

Xu²,

Chen³

et al. 2021

J. Inst.

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In positron emission tomography (PET) image reconstruction, the accurate system response matrix (SRM) is one of the key factors for reconstructing high-quality images. To reduce the influence of various factors on the spatial resolution, this paper focuses on calculating the SRM based on Monte Carlo (MC) simulation and proposes a method based on system geometric symmetry to reduce the simulation time. We split the symmetry into two types: intra-ring symmetry and inter-axis symmetry, a total of 208 times the symmetry is used. According to the standards formulated by the American National Electrical Manufacturers Association (NEMA), the spatial resolution and image quality are assessed by simulation experiments. Results of point source measurement show that the full width at half maximum (FWHM) range in each direction is about 1.1-1.3 mm, the average value is about 1.2 mm. In Derenzo phantom imaging, the MC method can clearly distinguish the 1.2 mm rods. To assess image quality, we calculated the uniformity of the image, contrast recovery coefficients (CRC), and coefficient of variation (COV). At the same time, we compared with the ray tracing (RT) and pixel drive (PD) models. In general, the MC method achieves better results in simulation experiments than RT and PD methods.

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Section: System Simulationmentioning

confidence: 99%

Research on system response matrix modelling method of rectangular PET scanner based on Monte Carlo simulation

Deng¹,

Xu²,

Chen³

et al. 2021

J. Inst.

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show abstract

“…Scatter fraction was 0.22 for this system. Therefore, it has good parameters among other PEMs [11][12][13].…”

mentioning

confidence: 99%

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

2023

J Biomed Phys Eng

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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 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. Results:The best result is obtained with the axial FOV of 101.7 mm. It has 1.6×1.6×15 mm 3 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. Conclusion:The results showed 1 up to 3% improvement in the sensitivity of this new detector compared with different PEMs.

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Construction and simulation of performance evaluation index system of Internet of Things based on cloud model

Yun-cheng

2020

Computer Communications

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Monte Carlo simulation of Ray-Scan 64 PET system and performance evaluation using GATE toolkit

Cited by 5 publications

References 18 publications

Research on system response matrix modelling method of rectangular PET scanner based on Monte Carlo simulation

Research on system response matrix modelling method of rectangular PET scanner based on Monte Carlo simulation

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

Construction and simulation of performance evaluation index system of Internet of Things based on cloud model

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