Single module of a Compton camera detector for online beam range monitoring in proton therapy

POSTER

Abstract

The key advantage of proton therapy over conventional radiotherapy is the dose deposition pattern: unlike X-rays, protons are fully stopped in patient's tissues with a distinct maximum at the end of their range: the Bragg peak. This enables precise coverage of a tumor volume while sparing the nearby healthy tissues. However, accurate control of the proton beam range is still considered a challenge. The SiFi-CC (SiPM and scintillating Fiber based Compton Camera) group develops a method of in vivo proton range monitoring with a Compton camera. Such a detector exploits the Compton effect and registers prompt gamma rays emitted in interactions of protons with the tissues' nuclei. Our design is a trade-off between the camera performance and its cost. In our approach, both detector modules (scatterer and absorber) will consist of stacked scintillating fibers with dual readout via silicon photomultipliers. Our simulation studies have shown that such a solution is feasible and appropriate for online range monitoring in proton therapy. The scintillating material and fiber coating were chosen based on an extensive study of the fiber properties. I am going to present the overview of the SiFi-CC project and discuss the performance of a single module of a Compton camera in proton beam conditions.

* The research is supported by the Priority Research Area (Visibility & Mobility, Research Support) in the Strategic Programme Excellence Initiative at JU and by the NCN Poland (2017/26/E/ST2/00618).

Presenters

  • Magdalena M Kolodziej

    Jagiellonian University

Authors

  • Magdalena M Kolodziej

    Jagiellonian University

  • Achim Stahl

    RWTH Aachen

  • Aleksandra Wrońska

    Jagiellonian University

  • Alexander Fenger

    RWTH Aachen

  • Andrzej Magiera

    Jagiellonian University

  • Barbara Kołodziej

    Jagiellonian University

  • George Farah

    RWTH Aachen

  • Jonas Kasper

    RWTH Aachen

  • Katarzyna Rusiecka

    Jagiellonian University

  • Magdalena Rafecas

    University of Luebeck

  • Ming-Liang Wong

    Jagiellonian University

  • Ronja Hetzel

    RWTH Aachen

  • Vitalii Urbanevych

    Jagiellonian University, RWTH Aachen

  • Linn Mielke

    RWTH Aachen