Development of a Compton camera for prompt-gamma medical imaging

Journal Article (2017)
Author(s)

S Aldawood (LMU Munich, King Saud University)

P. G. Thirolf (LMU Munich)

A. Miani (LMU Munich, University of Milan)

M. Böhmer (Technische Universität München)

G. Dedes (LMU Munich)

R. Gernhäuser (Technische Universität München)

C Lang (LMU Munich)

S Liprandi (LMU Munich)

L Maier (Technische Universität München)

T. Marinšek (LMU Munich)

M. Mayerhofer (LMU Munich)

D. R. Schaart (TU Delft - Applied Sciences)

I. Valencia Lozano (LMU Munich)

K Parodi (LMU Munich)

Research Group
RST/Applied Radiation & Isotopes
DOI related publication
https://doi.org/10.1016/j.radphyschem.2017.01.024 Final published version
More Info
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Publication Year
2017
Language
English
Research Group
RST/Applied Radiation & Isotopes
Journal title
Radiation Physics and Chemistry
Volume number
140
Pages (from-to)
190-197
Downloads counter
315

Abstract

A Compton camera-based detector system for photon detection from nuclear reactions induced by proton (or heavier ion) beams is under development at LMU Munich, targeting the online range verification of the particle beam in hadron therapy via prompt-gamma imaging. The detector is designed to be capable to reconstruct the photon source origin not only from the Compton scattering kinematics of the primary photon, but also to allow for tracking of the secondary Compton-scattered electrons, thus enabling a γ-source reconstruction also from incompletely absorbed photon events. The Compton camera consists of a monolithic LaBr3:Ce scintillation crystal, read out by a multi-anode PMT acting as absorber, preceded by a stacked array of 6 double-sided silicon strip detectors as scatterers. The detector components have been characterized both under offline and online conditions. The LaBr3:Ce crystal exhibits an excellent time and energy resolution. Using intense collimated 137Cs and 60Co sources, the monolithic scintillator was scanned on a fine 2D grid to generate a reference library of light amplitude distributions that allows for reconstructing the photon interaction position using a k-Nearest Neighbour (k-NN) algorithm. Systematic studies were performed to investigate the performance of the reconstruction algorithm, revealing an improvement of the spatial resolution with increasing photon energy to an optimum value of 3.7(1)mm at 1.33 MeV, achieved with the Categorical Average Pattern (CAP) modification of the k-NN algorithm.