Abstract
The SiFi-CC group is developing a scintillating-fiber-based Compton camera for high-efficiency gamma-ray imaging, specifically tailored for online range verification in particle therapy. After thorough optimization studies, including the development of neural-network approaches for event selection, the capability of the prototype for detecting range deviations is being studied by using realistic Monte Carlo simulations. We have implemented a spectral-spatial reconstruction based on the LM-MLEM algorithm and spectral analytical models for the system matrix and the sensitivity. In this work, we show the reconstructed images obtained from the irradiation of PMMA phantoms with 4 × 109 protons at therapeutic energies. The results show the capability of the SiFi-CC detector prototype to recover the 4.44 MeV prompt-gamma line and to detect 5 mm Bragg peak shifts.
| Originalsprache | Englisch |
|---|---|
| Zeitschrift | Acta Physica Polonica B, Proceedings Supplement |
| Jahrgang | 17 |
| Ausgabenummer | 7 |
| ISSN | 1899-2358 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2024 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
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SDG 9 – Industrie, Innovation und Infrastruktur
Strategische Forschungsbereiche und Zentren
- Forschungsschwerpunkt: Biomedizintechnik
DFG-Fachsystematik
- 2.22-32 Medizinische Physik, Biomedizinische Technik
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