Near-field coded-mask technique and its potential for proton therapy monitoring

Objective. Prompt-gamma imaging encompasses several approaches to the online monitoring of the beam range or deposited dose distribution in proton therapy. We test one of the imaging techniques - a coded mask approach - both experimentally and via simulations. Approach. Two imaging setups have been investigated experimentally. Each of them comprised a structured tungsten collimator in the form of a modified uniformly redundant array mask and a LYSO:Ce scintillation detector of fine granularity. The setups differed in detector dimensions and operation mode (1D or 2D imaging). A series of measurements with radioactive sources have been conducted, testing the performance of the setups for near-field gamma imaging. Additionally, Monte Carlo simulations of a larger setup of the same type were conducted, investigating its performance with a realistic gamma source distribution occurring during proton therapy. Main results. The images of point-like sources reconstructed from two small-scale prototypes' data using the maximum-likelihood expectation maximisation algorithm constitute the experimental proof of principle for the near-field coded-mask imaging modality, both in the 1D and the 2D mode. Their precision allowed us to calibrate out certain systematic offsets appearing due to the limited alignment accuracy of setup elements. The simulation of the full-scale setup yielded a mean distal falloff retrieval precision of 0.72 mm in the studies for beam energy range 89.5–107.9 MeV and with 1 × 10$^{8}$ protons (a typical number for distal spots). The implemented algorithm of image reconstruction is relatively fast—a typical procedure needs several seconds. Significance. Coded-mask imaging appears a valid option for proton therapy monitoring. The results of simulations let us conclude that the proposed full-scale setup is competitive with the knife-edge-shaped and the multi-parallel slit cameras investigated by other groups

Towards measurements of nuclear cross sections for radiation therapy with protons and ions

One form of cancer therapy is radiation therapy with heavy charged particles, usually protons or carbon ions. Beside the well understood electromagnetic interactions, nuclear reactions occur inside the patient during this kind of treatment. Large uncertainties are associated with the cross sections of these nuclear reactions. This work contributes to the measurement of these cross sections to enable their implementation in simulation software with a greater precision.A prototype of a detector system was developed to investigate reactions of protons and carbon ions. The measurements were performed at the Heidelberg Ion-Beam Therapy Centre. There a carbon beam with a kinetic energy of 200.28 MeV/u was guided onto a plastic target. The carbon ions first passed a start detector out of plastic scintillator to start a time-of-flight measurement. After a reaction in the target, the produced fragments hit a tracker built from scintillating fibres. This generated a stop signal for the time-of-flight measurement and provided information on the charge of the particle by the energy deposition in the material. In the end, the particles were stopped in a BGO calorimeter to measure their kinetic energy.Additionally, the set-up was simulated with the Monte-Carlo tool-kit Geant4. Among other things, a model for the light output of the particles in the scintillation materials was implemented.The measured data and the simulation results were investigated with a reconstruction algorithm, which constructs particles tracks from the detector hits and identifies the fragments with a χ²-analysis.The efficiency of the reconstruction and the purity of the data sets were calculated on basis of the simulation. This reveals, that the particle identification capability with this set-up is limited, because the detector resolution is not sufficient to distinguish different isotopes. Carbon ions which break up later in the detector cause impure tracks, which lead to misidentifications. Especially the recognition of heavier isotopes with more than six nucleons is affected.The comparison of the measurement with the simulation shows a qualitative agreement. It is shown, that the model to describe the light output in the detector has to be improved. Nevertheless, first angular dependent cross sections of scattered carbon ions and produced helium ions could be calculated. The performed measurements and simulations provide important information for the construction of a new detector set-up

The SiFi-CC project – Feasibility study of a scintillation-fiber-based Compton camera for proton therapy monitoring

One of the big challenges for proton therapy is the development of tools for online monitoring of the beam range, which are suited to operate in clinical conditions and can be included in the clinical practice. A Compton camera based on stacks of heavy scintillating fibers used for prompt-gamma imaging is a promising approach for this task. It provides full, three-dimensional information on the deposited dose distribution while showing a high detection efficiency and rate capability due to its high granularity. The investigation of the rate capability and detection efficiency of such a camera under clinical conditions by means of Geant4 simulations is presented along with the event construction algorithm. The results hint towards a very low pile-up rate in the detector and a relatively high detection efficiency, so that imaging of a single proton beam spot appears to be an achievable goal

Near-field coded-mask technique and its potential for proton therapy monitoring

Objective. Prompt-gamma imaging encompasses several approaches for online monitoring of beam range or deposited dose distribution in proton therapy. We test one of the imaging techniques - a coded mask approach - both experimentally and via simulations. Approach. Two imaging setups have been investigated experimentally. Each of them comprised a structured tungsten collimator in a form of a MURA mask and a LYSO:Ce scintillation detector of fine granularity. The setups differed in the detector dimensions and the operation mode (1D or 2D imaging). A series of measurements with radioactive sources have been conducted, testing the setups' performance of near-field gamma imaging. Additionally, Monte Carlo simulations of a larger setup of the same type were conducted, investigating its performance with a realistic gamma source distribution occurring during proton therapy. Main results. The images of point-like sources reconstructed from two smallscale prototypes' data using the MLEM algorithm constitute the experimental proof of principle for the near-field coded-mask imaging modality, both in the 1D and the 2D mode. Their precision allowed us to calibrate out certain systematic offsets appearing due to the misalignment of setup elements. The simulation of the full-scale setup yielded a mean distal falloff retrieval precision of 0.72 mm in the studies for beam energy range 89.5-107.9 MeV and with 1x10^8 protons (typical number for single distal spots). The implemented algorithm of image reconstruction is relatively fast - a typical procedure needs several seconds. Significance. Coded-mask imaging appears a valid option for proton therapy monitoring. The results of simulations let us conclude that the proposed fullscale setup is competitive to the knife-edge-shaped and the multiparalell slit cameras investigated by other groups

Experimental Verification of Key Cross Sections for Prompt-gamma Imaging in Proton Therapy

We present experimental investigation of cross sections for processes crucial in view of prompt-gamma imaging. The prompt-gamma rays were produced from an interaction of a proton beam with different phantom materials composed of carbon, oxygen and hydrogen. The used target setup allowed precise selection of the investigated depth in the phantom. We studied details of the dependence of prompt-gamma yields on beam energy, detection angle and elemental composition of irradiated phantom. The analysis was focused on the discrete transitions with the largest cross sections: 4.44 MeV in 12C and 6.13 MeV in 16O. The results are presented in form of profiles of the prompt-gamma yield as a function of depth. They are compared to calculations including different cross-section models. Obtained results are in agreement with the model exploiting cross-section data collected from the literature, but the comparison with the TALYS model shows discrepancies. In the latest experiment, special attention was paid to the shape of the distal fall-off. The width of that fall-off is directly linked to the resolution of prompt-gamma based methods of range verification. Preliminary results on the beam-energy dependence of this quantity are presented

The FOOT FragmentatiOn Of Target Experiment

International audienceIn proton-therapy clinical practice a constant RBE equal to 1.1 is adopted, regardless of the demonstrated RBE variations, which depends on physical and biological parameters. Among other mechanisms, nuclear interactions might influence the proton-RBE due to secondary heavier particles produced by target fragmentation that can significantly contribute to the total dose: an un-wanted and undetermined increase of normal tissues complications probability may occur. The FOOT experiment is designed to study these processes. Target ($^{16}$O,$^{12}$C) fragmentation induced by 150 − 250 M eV proton beam will be studied via inverse kinematic approach, where $^{16}$O and $^{12}$C therapeutic beams, with the same kinetic energy per nucleon of the proton, collide on graphite and hydrocarbons target to provide the cross section on Hydrogen (to explore also the projectile fragmentation). The detector design, the performances and expected resolution results obtained form Monte Carlo study, based on the FLUKA code will be presented