Proton range verification with MACACO II Compton camera enhanced by a neural network for event selection

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.

Automated summary

Current limitations in the applicability of hadron therapy for tumor treatment stem from the lack of reliable online monitoring techniques. Researchers are actively investigating monitoring systems based on the detection of secondary radiation during treatment. Utilizing the MACACO camera, a neural network is employed for event selection, leading to image reconstruction of prompt gamma distributions through a spectral reconstruction code.