2017
DOI: 10.1117/12.2254561
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Do quantitative metrics derived from standard fluoroscopy phantoms used for quality control assess vendor-specific advancements in interventional fluoroscopy systems?

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Cited by 1 publication
(2 citation statements)
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“…Traditional quality metrics including contrast, high‐contrast spatial resolution, and contrast to noise ratio (CNR) are routinely used for first‐order system assessment and for quality control. However, these traditional metrics independently assess specific properties of an imaging system and cannot be readily combined into a comprehensive system quality metric . Statistical model observers inherently include test object and imaging system properties to provide a single figure of merit.…”
Section: Introductionmentioning
confidence: 99%
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“…Traditional quality metrics including contrast, high‐contrast spatial resolution, and contrast to noise ratio (CNR) are routinely used for first‐order system assessment and for quality control. However, these traditional metrics independently assess specific properties of an imaging system and cannot be readily combined into a comprehensive system quality metric . Statistical model observers inherently include test object and imaging system properties to provide a single figure of merit.…”
Section: Introductionmentioning
confidence: 99%
“…However, these traditional metrics independently assess specific properties of an imaging system and cannot be readily combined into a comprehensive system quality metric. 9 Statistical model observers inherently include test object and imaging system properties to provide a single figure of merit. There are a variety of spatial domain model observers described in the literature, [10][11][12][13] with the channelized Hotelling model observer (CHO) commonly used to evaluate medical imaging systems.…”
Section: Introductionmentioning
confidence: 99%