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Improved nuclear medicine uniformity assessment with noise texture analysis

Nelson, Jeffrey S
Christianson, Olav I
Harkness, Beth A
Madsen, Mark T
Mah, Eugene
Thomas, Stephen R
Samei, Ehsan
Published in Journal of Nuclear Medicine. 2014, vol. 55, no. 1, p. 169-74
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 AlgorithmsArtifactsGamma CamerasHumansImage Processing, Computer-Assisted/methodsNuclear Medicine/methods/standardsObserver VariationROC CurveReproducibility of Results
PMID: 24212975
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Research group Imagerie Médicale (TEP et TEMP) (542)
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NELSON, Jeffrey S et al. Improved nuclear medicine uniformity assessment with noise texture analysis. In: Journal of Nuclear Medicine, 2014, vol. 55, n° 1, p. 169-74. https://archive-ouverte.unige.ch/unige:44446

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Deposited on : 2015-01-05

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