Technical Note: Gray tracking in medical color displays—A report of Task Group 196

Badano, Aldo; Wang, Joel; Boynton, Paul A.; Callet, Patrick Le; Cheng, Wei‐Chung; Deroo, Danny; Flynn, Michael J.; Matsui, Takashi; Penczek, John; Revie, Craig; Samei, Ehsan; Steven, P. M.; Swiderski, Stan; Hoey, Gert Van; Yamaguchi, Matsuhiro; Hasegawa, Mikio; Nagy, Balázs Vince

doi:10.1118/1.4953186

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…In addition, AAPM Report 196 describes a methodology to characterize color shifts in the grayscale levels. 9 AAPM Report 270 includes the Report 196 methodology, which IEC 62563-1 has also adopted. 10 A final report of TG322 is being prepared that will address calibration of color displays and provide practical step-by-step recommendations for clinical QA programs.…”

Section: A Colormentioning

confidence: 99%

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Practical application of AAPM Report 270 in display quality assurance: A report of Task Group 270

et al. 2020

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AAPM Report 270 provides an update to the recommendations of the AAPM's "TG18" report. Report 270 provides new definitions of display types, updated testing patterns, and revised performance standards for the modern, flat-panel displays used as part of medical image acquisition and review. The focus of the AAPM report is on consistent image quality and appearance, and how to establish a quality assurance program to achieve those two goals. This work highlights some of the key takeaways of AAPM Report 270 and makes comparisons with existing recommendations from other references. It also provides guidance for establishing a display quality assurance program for different-sized institutions. Finally, it describes future challenges for display quality assurance and what work remains.

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Section: A Colormentioning

confidence: 99%

“…Work is underway to address some of these concerns under the AAPM Task Group 322. In addition, AAPM Report 196 describes a methodology to characterize color shifts in the grayscale levels 9 . AAPM Report 270 includes the Report 196 methodology, which IEC 62563‐1 has also adopted 10 .…”

Section: Challenges Not Yet Addressedmentioning

confidence: 99%

Practical application of AAPM Report 270 in display quality assurance: A report of Task Group 270

et al. 2020

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“…Another metric for measuring gray tracking was recently recommended by the AAPM Task Group 196 (TG196) 8 . The TG196 method uses ∆( u ′, v ′) to evaluate the chromaticity deviation of gray shades from the white point, and is therefore suitable for assessing absolute errors against acceptance criteria.…”

Section: Discussionmentioning

confidence: 99%

Quantitative assessment of color tracking and gray tracking in color displays

Cheng

Badano

2021

Color Research & Application

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The goal of this study is to develop quantitative metrics for evaluating color tracking and gray tracking in a color display. Chromaticity consistency of red, green, or blue shades is color tracking, while chromaticity consistency of gray shades is gray tracking. Gray tracking and color tracking are the most important colorimetric responses of a color display because they directly indicate the color calibration quality and can therefore be used to compare color performance between displays. Two metrics, primary purity and gray purity, are defined to measure the color shift of the primary shades and gray shades of a color display, respectively. The area under the curves of primary purity and gray purity can then represent the quality of color tracking (C_AUC) and gray tracking (G_AUC), respectively. Fifteen displays including medical, professional‐grade, consumer‐grade, mobile, and special displays were tested to compare their C_AUC and G_AUC. The OLED displays have the greatest C_AUC values. The medical and professional‐grade displays have the greatest combinations of C_AUC and G_AUC values. Most consumer‐grade displays have lower C_AUC and G_AUC values, but some show better gray tracking than color tracking. The special displays exhibit particularly poor color and gray tracking.

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“…There are efforts to define standardized color gamut and color calibrations for medical grade displays [46], but this is still not developed. The key problem is because it is hard to keep GSDF calibration and color gamut calibration in the same time.…”

Section: Color Properties and Color Gamutmentioning

confidence: 99%

Digital Medical Diagnostic Displays

Livada¹

2020

IJEEC

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Digital medical imaging technology is developing rapidly in the last few decades and widely used as medical diagnostic tool. Medical image visual content analysis and interpretation is the most often method applied in detection and tracking of the pathogen behaviour of the imaged tissue. The human visual perception of the displayed image is limited by human visual system properties, display device characteristics and illumination environment influences during observation. In this review article we are analyzing how medical image specificities, human eye visual properties and display technology ultimate performances could be used to define medical image monitor technical requirements according to named application. We are focused on the analysis of the physical processes involved and technical aspects leading to optimization of the medical display requirements definition. This will help engineering and medical specialists to understand better medical display properties and provide more objective assessment of the display diagnostic suitability.

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Technical Note: Gray tracking in medical color displays—A report of Task Group 196

Abstract: The authors' proposed methodology for characterizing the grayscale degradation in chromaticity for color monitors that can be used to establish standards and procedures aiding in the quality control testing of color displays and color measurement instrumentation.

Cited by 5 publications

References 7 publications

Practical application of AAPM Report 270 in display quality assurance: A report of Task Group 270

Practical application of AAPM Report 270 in display quality assurance: A report of Task Group 270

Quantitative assessment of color tracking and gray tracking in color displays

Digital Medical Diagnostic Displays

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