en
Scientific article
Open access
English

Improved nuclear medicine uniformity assessment with noise texture analysis

Published inThe Journal of nuclear medicine, vol. 55, no. 1, p. 169-174
Publication date2014
Abstract

Because γ cameras are generally susceptible to environmental conditions and system vulnerabilities, they require routine evaluation of uniformity performance. The metrics for such evaluations are commonly pixel value-based. Although these metrics are typically successful at identifying regional nonuniformities, they often do not adequately reflect subtle periodic structures; therefore, additional visual inspections are required. The goal of this project was to develop, test, and validate a new uniformity analysis metric capable of accurately identifying structures and patterns present in nuclear medicine flood-field uniformity images.

Keywords
  • Algorithms
  • Artifacts
  • Gamma Cameras
  • Humans
  • Image Processing, Computer-Assisted/methods
  • Nuclear Medicine/methods/standards
  • Observer Variation
  • ROC Curve
  • Reproducibility of Results
Citation (ISO format)
NELSON, Jeffrey S et al. Improved nuclear medicine uniformity assessment with noise texture analysis. In: The Journal of nuclear medicine, 2014, vol. 55, n° 1, p. 169–174. doi: 10.2967/jnumed.113.125450
Main files (1)
Article (Published version)
accessLevelPublic
Identifiers
ISSN of the journal0161-5505
490views
365downloads

Technical informations

Creation12/19/2014 3:49:00 PM
First validation12/19/2014 3:49:00 PM
Update time03/14/2023 10:34:33 PM
Status update03/14/2023 10:34:32 PM
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