Speaker
Description
Two of the most promising methodologies for in-room real-time ion-range
monitoring are positron-emission tomography (PET) and prompt-gamma
imaging (PGI). Owing to the prompt-nature of the emitted radiation, range
verification via PGI is well suited for real-time monitoring [Ler22], whereas
PET imaging can provide tomographic and functional information relevant
to study physiological processes and tumor response.
The method that we have implemented is based on the hybrid
combination of both PGI and PET within the same system [Bal22], thus
exploiting the advantages of them both. This is accomplished by means of
an array of Compton cameras in a twofold front-to-front configuration
operating in synchronous mode.
In this contribution I will present a summary of a proof-of-concept
experiment performed at CNA-Sevilla and first results from the
HIT-Heidelberg facility where clinical conditions were used to validate the
hybrid technique with protons, alpha and C ion beams.
[Ler22] J. Lerendegui-Marco et al., “Towards machine learning aided real-time range imaging in proton
therapy”, Sci Rep 12, 2735 (2022). https://doi.org/10.1038/s41598-022-06126-6
[Bal22] J. Balibrea-Correa et al., “Hybrid in-beam PET- and Compton prompt-gamma imaging aimed at
enhanced proton-range verification”, The Eur. Phys. Jour. Plus, Volume 137, Issue 11, article id.1258
(2022) https://doi.org/10.1140/epjp/s13360-022-03414-y
