Automated photopeak detection and analysis in low resolution gamma-ray spectra for isotope identification

C. J. Sullivan, J. Lu

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

Abstract

Automated isotope identification has long been an important problem in homeland security and nuclear emergency response. This process is difficult for low-resolution spectra because peaks can be significantly overlapping. Also, their areas can be difficult to determine because of the fluctuating baseline due to the Compton continuum across the whole spectrum. The wavelet transform stands out among many potential solutions of this problem, owing to its ability to de-noise noisy signals, pattern matching, and simultaneous multi-resolution signal analysis. In this paper, a novel wavelet-based algorithm for detecting peaks and measuring their areas is introduced, and specific wavelets are selected to find the optimal scale of signal analysis. Their abilities in locating peaks, resolving overlapping peaks, and determining peak areas are presented and assessed with both simulated signals and real gamma-ray spectra.

Original languageEnglish (US)
Title of host publication2013 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479905348
DOIs
StatePublished - Jan 1 2013
Event2013 60th IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013 - Seoul, Korea, Republic of
Duration: Oct 27 2013Nov 2 2013

Publication series

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

Other

Other2013 60th IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013
CountryKorea, Republic of
CitySeoul
Period10/27/1311/2/13

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Automated photopeak detection and analysis in low resolution gamma-ray spectra for isotope identification'. Together they form a unique fingerprint.

Cite this