Enhanced data analysis for improved energy resolution of a CZT-based PET system

Don Vernekohl, Shiva Abbaszadeh, Yi Gu, Craig S. Levin

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

Abstract

Cadmium zinc telluride (CZT) detectors are highly promising for advanced PET imaging due to their high energy and spatial resolution. In this contribution, an improved data analysis is suggested for the small animal PET system currently under construction at Stanford. Improved energy resolution in positron emission tomography (PET) helps to exclude scattered events and is necessary for new strategies to raise sensitivity. The analysis method in this study uses two different approaches where the first approach is an automated regulation process to determine appropriate fit parameters for each anode channel in the detector. The second approach identifies readout channels with over-corrections and changes the data analysis chain to avoid over-corrections. Following the measured data set in this analysis, the two approaches are make a relative improvement of the energy resolution by 15% and 0.1%, respectively, when a reasonable minimal fit range of 40 keV is set. This equates to an absolute improvement from 8.54% to 7.25% FWHM at 511 keV for a combined processing.

Original languageEnglish (US)
Title of host publication2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467398626
DOIs
StatePublished - Oct 3 2016
Event2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 - San Diego, United States
Duration: Oct 31 2015Nov 7 2015

Publication series

Name2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015

Other

Other2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015
Country/TerritoryUnited States
CitySan Diego
Period10/31/1511/7/15

ASJC Scopus subject areas

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

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