Abstract
Purpose
Several preclinical imaging systems are commercially available, but their purchase and maintenance costs make them unaffordable for the majority of small- and medium-sized groups. Taking into account the needs of average users, we developed “γ-eye”, a mouse-sized, benchtop γ-camera suitable for in vivo scintigraphic imaging.
Procedures
The γ-eye is based on two position-sensitive photomultiplier tubes, coupled to a CsI(Na) pixelated scintillator and a low-energy lead collimator with parallel hexagonal holes.
Results
The spatial resolution of the system is 2 mm at 0 mm. The energy resolution is 26 % at 140 keV and the maximum recorded sensitivity 210 cps/MBq. The system was evaluated in a proof-of-concept animal study, using three different clinical Tc-99m-labeled radiopharmaceuticals. Phantom and animal studies demonstrate its ability to provide semiquantitative results even for short scans.
Conclusions
Systems’ performance, dimensions, and cost make γ-eye a unique solution for efficient whole-body mouse nuclear imaging.
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Ethical Approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.
Human and Animal Rights
All applicable institutional and/or national guidelines for the care and use of animals were followed.
Conflict of Interest
The technology similar to the “γ-eye” presented in this manuscript will be commercialized in the near future by BET Solutions, Athens, Greece. At this point, γ-eye system is in prototype version. Eleftherios Fysikopoulos and Konstantinos Mikropoulos are currently coworkers of BET Solutions, George Loudos is consultant for BET Solutions, and Maria Georgiou is a general partner of BET Solutions.
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Georgiou, M., Fysikopoulos, E., Mikropoulos, K. et al. Characterization of “γ-Eye”: a Low-Cost Benchtop Mouse-Sized Gamma Camera for Dynamic and Static Imaging Studies. Mol Imaging Biol 19, 398–407 (2017). https://doi.org/10.1007/s11307-016-1011-4
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DOI: https://doi.org/10.1007/s11307-016-1011-4