Data-processing strategies for crossed-strip gamma-ray detectors

Heather L. Durko, Benjamin S. McDonald, Sepideh Shokouhi, Lars R. Furenlid, Harrison H. Barrett, Todd E. Peterson

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

4 Scopus citations


Crossed-strip gamma-ray detectors are an attractive option for small-animal SPECT imagers due to their high space-bandwidth product. In systems with independent triggering of the two sides of the detector, advanced data-processing techniques are required to accurately determine gamma-ray interaction locations and energy deposition. Optimal detector operation further relies on rigorous detector characterization in order to achieve detector triggering uniformity and best timing resolution and to permit position and energy estimation with maximum-likelihood methods. We describe algorithms and methods developed for calibrating and characterizing a recently fabricated system based on 1024-strips-per-side 1-mm-thick silicon detectors.

Original languageEnglish (US)
Title of host publication2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008
Number of pages4
StatePublished - 2008
Event2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008 - Dresden, Germany
Duration: Oct 19 2008Oct 25 2008

Publication series

NameIEEE Nuclear Science Symposium Conference Record
ISSN (Print)1095-7863


Other2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging


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