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Simulations of a high-resolution micro-PET system based on liquid xenon. Clements, Charles McConnell


The capabilities and system performance of a high-resolution micro-PET system based on liquid xenon have been studied. Monte-Carlo simulations of scintillation events within a single sector of a twelve-sector prototype have been performed, and the results have been analyzed using Neural Network algorithms. The ability of the system to distinguish interaction points using scintillation information has been analyzed and presented. Monte-Carlo simulations of a full scale prototype have also been performed using NEMA standard mouse and rat phantoms. A novel scatter suppression scheme based on weighted Line of Response data is presented, and the effects on scatter fraction and background noise are analyzed.

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