Paper
8 October 2007 Fast maximum-likelihood estimation methods for scintillation cameras and other optical sensors
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Abstract
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
L. R. Furenlid, J. Y. Hesterman, and H. H. Barrett "Fast maximum-likelihood estimation methods for scintillation cameras and other optical sensors", Proc. SPIE 6707, Penetrating Radiation Systems and Applications VIII, 67070N (8 October 2007); https://doi.org/10.1117/12.740321
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CITATIONS
Cited by 4 scholarly publications and 1 patent.
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KEYWORDS
Cameras

Gamma radiation

Calibration

Scintillation

Sensors

Detection and tracking algorithms

Signal processing

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