Academic Journal
Proton therapy monitoring: spatiotemporal emission reconstruction with prompt gamma timing and implementation with PET detectors
| العنوان: | Proton therapy monitoring: spatiotemporal emission reconstruction with prompt gamma timing and implementation with PET detectors |
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| المؤلفون: | Pennazio, Francesco, Ferrero, Veronica, D’Onghia, Grazia, Garbolino, Sara, Fiorina, Elisa, Marti Villarreal, Oscar Ariel, Mas Milian, Felix, Monaco, Vincenzo, Monti, Valeria, Patera, Alessandra, Werner, Julius, Wheadon, Richard, Rafecas, Magdalena |
| المساهمون: | Instituto Nazionale di Fisica Nucleare, German Research Foundation |
| المصدر: | Physics in Medicine & Biology ; volume 67, issue 6, page 065005 ; ISSN 0031-9155 1361-6560 |
| بيانات النشر: | IOP Publishing |
| سنة النشر: | 2022 |
| الوصف: | Objective . In this study we introduce spatiotemporal emission reconstruction prompt gamma timing (SER-PGT), a new method to directly reconstruct the prompt photon emission in the space and time domains inside the patient in proton therapy. Approach . SER-PGT is based on the numerical optimisation of a multidimensional likelihood function, followed by a post-processing of the results. The current approach relies on a specific implementation of the maximum-likelihood expectation maximisation algorithm. The robustness of the method is guaranteed by the complete absence of any information about the target composition in the algorithm. Main results . Accurate Monte Carlo simulations indicate a range resolution of about 0.5 cm (standard deviation) when considering 10 7 primary protons impinging on an homogeneous phantom. Preliminary results on an anthropomorphic phantom are also reported. Significance . By showing the feasibility for the reconstruction of the primary particle range using PET detectors, this study provides significant basis for the development of an hybrid in-beam PET and prompt photon device. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| DOI: | 10.1088/1361-6560/ac5765 |
| DOI: | 10.1088/1361-6560/ac5765/pdf |
| الاتاحة: | http://dx.doi.org/10.1088/1361-6560/ac5765 https://iopscience.iop.org/article/10.1088/1361-6560/ac5765 https://iopscience.iop.org/article/10.1088/1361-6560/ac5765/pdf |
| Rights: | http://creativecommons.org/licenses/by/4.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining |
| رقم الانضمام: | edsbas.F2E52049 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1088/1361-6560/ac5765 |
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