Alexander Schilling

(University of Kaiserslautern-Landau (RPTU))
hosted by Seminar Series on Scientific Computing

"Proton Therapy Range Verification with a Digital Tracking Calorimeter"

Proton therapy is highly sensitive to range uncertainties due to the nature of the dose deposition of charged particles. To ensure treatment quality, range verification methods can be used to verify that the individual spots in a pencil beam scanning treatment fraction match the treatment plan. For this purpose, secondary particles emitted by nuclear interactions of the proton beam with the patient can be detected and compared to expected values from Monte Carlo simulations. To eliminate the need for an additional detector in the treatment room, we investigate the feasibility of using a digital tracking calorimeter designed for proton computed tomography for this purpose. Using uncertainty-aware machine learning, we define a quality measure for a treatment fraction, based on the amount of erroneously treated spots. With this method, it is possible to detect patient misalignments of 1 mm with statistical significance after around 1400 treated spots; sufficient for most treatment plans.

Time:	Thursday, 05.06.2025, 10:15
Place:	Hybrid (Room 32-349 and via Zoom)
Video:	https://uni-kl-de.zoom-x.de/j/69269239534?pwd=Z9UOzMpkhMjrxVhll3d49sNHFe9Fd1.1

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