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Scientific article
OA Policy
English

Improved nuclear medicine uniformity assessment with noise texture analysis

Contributors

Nelson, Jeffrey S; Christianson, Olav I; Harkness, Beth A; Madsen, Mark T; Mah, Eugene; Thomas, Stephen R; Zaidi, Habib; Samei, Ehsan

Published in

The Journal of nuclear medicine, vol. 55, no. 1, p. 169-174

Publication date

2014

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

UNIGE affiliation entities

UNIGE research groups

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)

Identifiers

Journal ISSN

0161-5505
589views
530downloads

Technical informations

Creation

19/12/2014 15:49:00

First validation

19/12/2014 15:49:00

Update

14/03/2023 22:34:33

Status update

14/03/2023 22:34:32

Last indexation

30/10/2024 21:53:00
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