Fast maximum-likelihood estimation methods for scintillation cameras and other optical sensors

L. R. Furenlid, J. Y. Hesterman, H. H. Barrett

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationPenetrating Radiation Systems and Applications VIII
DOIs
StatePublished - Dec 1 2007
EventPenetrating Radiation Systems and Applications VIII - San Diego, CA, United States
Duration: Aug 29 2007Aug 30 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6707
ISSN (Print)0277-786X

Other

OtherPenetrating Radiation Systems and Applications VIII
CountryUnited States
CitySan Diego, CA
Period8/29/078/30/07

Keywords

  • Gamma camera
  • Maximum-likelihood
  • Search algorithm

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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