Fast maximum-likelihood estimation methods for scintillation cameras and other optical sensors.
Maximum-likelihood estimation methods offer many advantages for processing experimental data to extract information, especially when combined with carefully measured calibration data. There are many tasks relevant to x-ray and gamma-ray detection that can be addressed with a new, fast ML-search algorithm that can be implemented in hardware or software. Example applications include gamma-ray event position, energy, and timing estimation, as well as general applications in optical testing and wave-front sensing.
Department of Radiology, University of Arizona Tucson, AZ 85724 ; College of Optical Sciences, University of Arizona Tucson, AZ 85724.
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Furenlid
College of Optical Sciences, University of Arizona Tucson, AZ 85724.
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Hesterman
Department of Radiology, University of Arizona Tucson, AZ 85724 ; College of Optical Sciences, University of Arizona Tucson, AZ 85724.
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Barrett
gamma camera; maximum-likelihood; search algorithm