27 July 2018 Increasing display luminance as a means to enhance interpretation accuracy and efficiency when reducing full-field digital mammography dose
Author Affiliations +
Abstract
Reducing dose increases noise impacting image quality but can be offset by increasing display luminance. Two contrast detail mammography images were obtained at 26 kV and the same distance between detectors, at 45 and 50 mAs resulting in entrance surface doses of 7.09 and 7.88 mGy, respectively. They were processed to make average gray level of the background independent of the dose level while maintaining original SNR. Eight radiologists viewed the images at 420, 1000  cd  /  m2, and SpotView™ a tool that resulted in an average display luminance of 3138.8  cd  /  m2. Percent correct (PC) for all three luminances was higher for high versus low dose. Performance was always higher with high dose no matter what the luminance. For low dose, PC was highest with SpotView™, and SpotView™ and 1000  cd  /  m2 were significantly higher than 420  cd  /  m2. At high dose, SpotView™ PC was significantly higher than both lower luminances. Average time per image was lower in high dose, and, at both doses, time decreased as luminance increased, with SpotView™ having significantly shorter times. Increasing luminance from 420 to 1000  cd  /  m2 significantly increases target detection by ∼3.0  %   and with SpotView™ by ∼6.2  %  . Increasing display luminance with SpotView™ significantly decreases reading time by 16.0%.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 2329-4302/2018/$25.00 © 2018 SPIE
Elizabeth A. Krupinski "Increasing display luminance as a means to enhance interpretation accuracy and efficiency when reducing full-field digital mammography dose," Journal of Medical Imaging 5(3), 035501 (27 July 2018). https://doi.org/10.1117/1.JMI.5.3.035501
Received: 30 January 2018; Accepted: 18 July 2018; Published: 27 July 2018
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Digital mammography

Mammography

Image processing

Target detection

Image quality

Radiology

Digital imaging

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