Nuclear Engineering and Technology

  • 제55권10호
  • /
  • Pages.3700-3708
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  • 2023
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  • 1738-5733(pISSN)
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  • 2234-358X(eISSN)
한국원자력학회 (Korean Nuclear Society)
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Strategies to improve the range verification of stochastic origin ensembles for low-count prompt gamma imaging

  • Hsuan-Ming Huang (Institute of Medical Device and Imaging, College of Medicine, National Taiwan University)
  • 투고 : 2022.12.02
  • 심사 : 2023.06.20
  • 발행 : 2023.10.25
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⟨ 이전 논문 다음 논문 ⟩

초록

The stochastic origin ensembles method with resolution recovery (SOE-RR) has been proposed to reconstruct proton-induced prompt gammas (PGs), and the reconstructed PG image was used for range verification. However, due to low detection efficiency, the number of valid events is low. Such a low-count condition can degrade the accuracy of the SOE-RR method for proton range verification. In this study, we proposed two strategies to improve the reconstruction of the SOE-RR algorithm for low-count PG imaging. We also studied the number of iterations and repetitions required to achieve reliable range verification. We simulated a proton beam (108 protons) irradiated on a water phantom and used a two-layer Compton camera to detect 4.44-MeV PGs. Our simulated results show that combining the SOE-RR algorithm with restricted volume (SOE-RR-RV) can reduce the error of the estimation of the Bragg peak position from 5.0 mm to 2.5 mm. We also found that the SOE-RR-RV algorithm initialized using a back-projection image could improve the convergence rate while maintaining accurate range verification. Finally, we observed that the improved SOE-RR algorithm set for 60,000 iterations and 25 repetitions could provide reliable PG images. Based on the proposed reconstruction strategies, the SOE-RR algorithm has the potential to achieve a positioning error of 2.5 mm for low-count PG imaging.

키워드

과제정보

This work was partially supported by the Ministry of Science and Technology, Taiwan (grant numbers: MOST 106-2221-E-002-235).

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