Monte Carlo evaluation of a LYSO-based Compton camera using two origin ensemble algorithms with resolution recovery

Hsuan Ming Huang*

*此作品的通信作者

研究成果: 期刊稿件文章同行評審

4 引文 斯高帕斯(Scopus)

摘要

Purpose: Due to the lack of depth-of-interaction information, a Compton camera made of lutetium-yttrium orthosilicate (LYSO) crystals suffers from poor spatial resolution, which may lead to an unreliable range verification in proton therapy. The aim of this study is to evaluate the performance of a LYSO-based Compton camera using the origin ensemble algorithm with resolution recovery (OE-RR). We also proposed a regularized version of OE-RR called ROE-RR. Methods: We simulated a two-layer LYSO-based Compton camera which was used to detect prompt gammas (PGs) produced by a proton beam irradiated on a water phantom. PG images reconstructed by the OE-RR algorithm were evaluated and compared with those reconstructed by the proposed ROE-RR algorithm. Results: Our simulated results show that both the OE-RR and ROE-RR algorithms could provide an accurate estimate of the Bragg peak position, with a mean positioning error of 2.5 mm. Compared to the OE-RR algorithm, the proposed ROE-RR algorithm is less sensitive with respect to initial conditions and requires less iterations for converging to equilibrium. More importantly, the proposed ROE-RR algorithm could provide better image quality than the OE-RR algorithm, especially in low-count data. Conclusions: For LYSO-based Compton cameras, using a resolution-recovery image reconstruction algorithm is essential for reliable range verification.

原文英語
頁(從 - 到)5300-5310
頁數11
期刊Medical Physics
48
發行號9
DOIs
出版狀態已出版 - 09 2021
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Publisher Copyright:
© 2021 American Association of Physicists in Medicine

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