1. Proton range verification with MACACO II Compton camera enhanced by a neural network for event selection
- Author
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J. Roser, Josep F. Oliver, Peter Dendooven, Gabriela Llosa, A. Ros, Ikechi Ozoemelam, Enrique Muñoz, John Barrio, M. Borja-Lloret, and Research unit Medical Physics
- Subjects
TELESCOPE ,Science ,Monte Carlo method ,Imaging techniques ,Iterative reconstruction ,Scintillator ,THERAPY ,Signal ,Article ,Spectral line ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Optics ,Gamma distribution ,Physics ,Multidisciplinary ,Radiotherapy ,Artificial neural network ,business.industry ,LIVED POSITRON EMITTERS ,PET ,030220 oncology & carcinogenesis ,PROMPT-GAMMA ,Medicine ,EMISSION ,Experimental particle physics ,business ,Energy (signal processing) - Abstract
The applicability extent of hadron therapy for tumor treatment is currently limited by the lack of reliable online monitoring techniques. An active topic of investigation is the research of monitoring systems based on the detection of secondary radiation produced during treatment. MACACO, a multi-layer Compton camera based on LaBr3 scintillator crystals and SiPMs, is being developed at IFIC-Valencia for this purpose. This work reports the results obtained from measurements of a 150 MeV proton beam impinging on a PMMA target. A neural network trained on Monte Carlo simulations is used for event selection, increasing the signal to background ratio before image reconstruction. Images of the measured prompt gamma distributions are reconstructed by means of a spectral reconstruction code, through which the 4.439 MeV spectral line is resolved. Images of the emission distribution at this energy are reconstructed, allowing calculation of the distal fall-off and identification of target displacements of 3 mm.
- Published
- 2021