Towards machine learning aided real-time range imaging in proton therapy

• Published in: Scientific reports Vol. 12; no. 1; pp. 2735 - 17
• Main Authors: Lerendegui-Marco, Jorge, Balibrea-Correa, Javier, Babiano-Suárez, Víctor, Ladarescu, Ion, Domingo-Pardo, César
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 17.02.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 639/766/387/1126; 639/766/930/2735; 692/4028/67/1059/485; Cameras; Crystals; Diagnostic Imaging; Efficiency; Humanities and Social Sciences; Image processing; Image Processing, Computer-Assisted; Learning algorithms; Machine Learning; multidisciplinary; Nuclear physics; Phantoms, Imaging; Proton Therapy; Protons; Radiation therapy; Science; Science (multidisciplinary)
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-022-06126-6

Compton imaging represents a promising technique for range verification in proton therapy treatments. In this work, we report on the advantageous aspects of the i-TED detector for proton-range monitoring, based on the results of the first Monte Carlo study of its applicability to this field. i-TED is an array of Compton cameras, that have been specifically designed for neutron-capture nuclear physics experiments, which are characterized by γ -ray energies spanning up to 5–6 MeV, rather low γ -ray emission yields and very intense neutron induced γ -ray backgrounds. Our developments to cope with these three aspects are concomitant with those required in the field of hadron therapy, especially in terms of high efficiency for real-time monitoring, low sensitivity to neutron backgrounds and reliable performance at the high γ -ray energies. We find that signal-to-background ratios can be appreciably improved with i-TED thanks to its light-weight design and the low neutron-capture cross sections of its LaCl 3 crystals, when compared to other similar systems based on LYSO, CdZnTe or LaBr 3 . Its high time-resolution (CRT  ∼  500 ps) represents an additional advantage for background suppression when operated in pulsed HT mode. Each i-TED Compton module features two detection planes of very large LaCl 3 monolithic crystals, thereby achieving a high efficiency in coincidence of 0.2% for a point-like 1 MeV γ -ray source at 5 cm distance. This leads to sufficient statistics for reliable image reconstruction with an array of four i-TED detectors assuming clinical intensities of 10 8 protons per treatment point. The use of a two-plane design instead of three-planes has been preferred owing to the higher attainable efficiency for double time-coincidences than for threefold events. The loss of full-energy events for high energy γ -rays is compensated by means of machine-learning based algorithms, which allow one to enhance the signal-to-total ratio up to a factor of 2.