Jun 25 – 29, 2023
Ole-Johan Dahls Hus
Europe/Oslo timezone

P2.37: Experimental and simulation study of near-field coded-mask imaging for proton therapy monitoring

Jun 28, 2023, 5:18 PM
Ole-Johan Spiseri (Ole-Johan Dahls Hus)

Ole-Johan Spiseri

Ole-Johan Dahls Hus

Ole Johan Dahls Hus - Oslo Science Park Gaustadalléen 23B, 0373 Oslo


Vitalii Urbanevych (Master)


I will present the results of testing the coded-mask imaging technique for monitoring the range of proton beams during proton therapy. The objective was to investigate the performance of experimental imaging setups, each consisting of a structured tungsten collimator in the form of a Modified Uniformly Redundant Array (MURA) mask and a LYSO:Ce scintillation detector of fine granularity with 1.36 mm pitch. The focus was on 22Na and 137Cs point-like source reconstruction.
The setups featured masks of different patterns and different detectors enabled the reconstruction of either only longitudinal or together with lateral coordinates of the hit position. Consequently, one of the tested setups allowed 1D image reconstruction and the other 2D. Additionally, Monte Carlo simulations of a larger 1D-imaging setup of the same type as one of the prototypes were conducted to assess the feasibility of reconstructing a realistic source distribution. A series of measurements with 22Na and 137Cs sources were performed to test the setups performance of near-field gamma imaging. The images of point-like sources reconstructed from the two small-scale prototypes data using the MLEM algorithm provided experimental proof of principle for the near-field coded-mask imaging modality in both the 1D and 2D modes.
The simulation of the full-scale 1D setup with realistic source distribution yielded a mean distal falloff retrieval precision of 0.72 mm, demonstrating that the proposed full-scale setup is competitive with the knife-edge-shaped and multiparallel slit cameras investigated by other groups. The results of this study indicate that coded-mask imaging is a viable option for proton therapy monitoring, with relatively fast image reconstruction times of several seconds on a desktop PC using CPU.
I would like to give an oral presentation.

The authors acknowledge funding from the Polish National Science Centre (grants 2017/26/E/ST2/00618 and 2019/33/N/ST2/02780). The exchange of staff and students between Poland and Germany was possible thanks to the support of the Polish National Agency for Academic Exchange (NAWA) as well as the German Academic Exchange Service (DAAD) (project-ID 57562042). Sensor tile and electronics were developed within the European Union’s Horizon 2020 research and innovation programme under grant agreement No 667211.

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