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http://dx.doi.org/10.1007/s13534-018-0083-2

Analytic simulator and image generator of multiple-scattering Compton camera for prompt gamma ray imaging  

Kim, Soo Mee (Maritime ICT R&D Center, Korea Institute of Ocean Science and Technology)
Publication Information
Biomedical Engineering Letters / v.8, no.4, 2018 , pp. 383-392 More about this Journal
Abstract
For prompt gamma ray imaging for biomedical applications and environmental radiation monitoring, we propose herein a multiple-scattering Compton camera (MSCC). MSCC consists of three or more semiconductor layers with good energy resolution, and has potential for simultaneous detection and differentiation of multiple radio-isotopes based on the measured energies, as well as three-dimensional (3D) imaging of the radio-isotope distribution. In this study, we developed an analytic simulator and a 3D image generator for a MSCC, including the physical models of the radiation source emission and detection processes that can be utilized for geometry and performance prediction prior to the construction of a real system. The analytic simulator for a MSCC records coincidence detections of successive interactions in multiple detector layers. In the successive interaction processes, the emission direction of the incident gamma ray, the scattering angle, and the changed traveling path after the Compton scattering interaction in each detector, were determined by a conical surface uniform random number generator (RNG), and by a Klein-Nishina RNG. The 3D image generator has two functions: the recovery of the initial source energy spectrum and the 3D spatial distribution of the source. We evaluated the analytic simulator and image generator with two different energetic point radiation sources (Cs-137 and Co-60) and with an MSCC comprising three detector layers. The recovered initial energies of the incident radiations were well differentiated from the generated MSCC events. Correspondingly, we could obtain a multi-tracer image that combined the two differentiated images. The developed analytic simulator in this study emulated the randomness of the detection process of a multiple-scattering Compton camera, including the inherent degradation factors of the detectors, such as the limited spatial and energy resolutions. The Doppler-broadening effect owing to the momentum distribution of electrons in Compton scattering was not considered in the detection process because most interested isotopes for biomedical and environmental applications have high energies that are less sensitive to Doppler broadening. The analytic simulator and image generator for MSCC can be utilized to determine the optimal geometrical parameters, such as the distances between detectors and detector size, thus affecting the imaging performance of the Compton camera prior to the development of a real system.
Keywords
Multiple-scattering Compton camera; Prompt gamma imaging; Analytic simulator; Image generator;
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1 Kamea T, Enomoto R, Hanada N. A new method to measure energy, direction, and polarization of gamma-rays. Nucl Instr Meth Phys Res A. 1987;260:254-7.   DOI
2 Kamea T, Hanada H. Prototype design of multiple Compton gamma-ray camera. IEEE Trans Nucl Sci. 1988;35:352-5.   DOI
3 Dogan N, Wehe DK, Knoll GF. Multiple Compton scattering gamma ray imaging camera. Nucl Instr Meth Phys Res A. 1990;299:501-6.   DOI
4 Motomura S, Kanayama Y, Haba H, Watanabe Y, Enomoto S. Multiple molecular simultaneous imaging in a live mouse using semiconductor Compton camera. J Anal At Spectrom. 2008;23:1089-92.   DOI
5 Richard M-H, Chevallier M, Dauvergne D, Freud N, Henriquet P, Le Foulher F, et al. Design guidelines for a double scattering Compton camera for prompt-c imaging during ion beam therapy: a Monte Carlo simulation study. IEEE Trans Nucl Sci. 2011;58(1):87-94.   DOI
6 IERNet. http://iernet.kins.re.kr/.
7 Hossain A, Cho M, Lee S. Compression induced contrast change in X-ray mammograms: a simulation study. Biomed Eng Lett. 2011;1(1):49-55.   DOI
8 Ning Y, Zhang Y. A new approach for multi-channel surface EMG signal simulation. Biomed Eng Lett. 2017;7(1):45-53.   DOI
9 Sadremomtaz A. Capabilities of the Monte Carlo simulation codes for modeling of a small animal SPECT camera. Nucl Med Mol Imaging. 2018;52(4):303-10.   DOI
10 Ordonez C, Chang W, Bolozdynya A. Angular uncertainties due to geometry and spatial resolution in Compton cameras. IEEE Trans Nucl Sci. 1999;46(4):1142-7.   DOI
11 Kim SM, Lee JS, Lee MN, Lee JH, Lee CS, Kim C-H, et al. Two approaches to implementing projector-backprojector pairs for 3D reconstruction from Compton scattered data. Nucl Instr Meth Phys Res A. 2007;571:255-8.   DOI
12 Jiang J, Shimazoe K, Nakamura Y, Takahashi H, Shikaze Y, Nishizawa Y, et al. A prototype of aerial radiation monitoring system using an unmanned helicopter mounting a GAGG scintillator Compton camera. J Nucl Sci Technol. 2016;53(7):1067-75.   DOI
13 Sato Y, Kawabata K, Ozawa S, Izumi R, Kaburagi M, Tanifuji Y, et al. Radiation imaging system using a Compton gamma-ray imager mounted on a remotely operated machine. IFAC PapersOnLine. 2017;50:1062-6.   DOI
14 Kim S, Lee J, Lee C, Kim C, Lee M, Lee D, Lee S-J. Fully three-dimensional OSEM-based image reconstruction for Compton imaging using optimized ordering schemes. Phys Med Biol. 2010;55:5007-27.   DOI
15 Chun S. The use of anatomical information for molecular image reconstruction algorithms: attenuation/scatter correction, motion compensation, and noise reduction. Nucl Med Mol Imaging. 2016;50(1):13-23.   DOI
16 Kim S, Seo H, Park J, Kim C, Lee C, Lee S-J, Lee D, Lee J. Resolution recovery reconstruction for a Compton camera. Phys Med Biol. 2013;58:2823-40.   DOI
17 Mackin D, Polf J, Peterson S, Beddar S. The effects of doppler broadening and detector resolution on the performance of three-stage Compton cameras. Med Phys. 2013;40(1):012402.