Use of a human visual system model to predict the effects of display veiling glare on observer performance

Elizabeth A. Krupinski, Jeffrey Johnson, Hans Roehrig, John Nafziger, Jiahua Fan, Jeffrey Lubin

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations


The goal of this project was to evaluate a human visual system model (JNDmetrix) based on JND and frequency-channel vision-modeling principles to predict the effects of monitor veiling glare on observer performance in interpreting radiographic images. The veiling glare of a high-performance CRT and an LCD display was measured. A series of mammographic images with masses of different contrast levels was generated. Six radiologists viewed the sets of images on both monitors and reported their decision confidence about the presence of a mass. The images were also run through the JNDmetrix model. Veiling glare affected observer performance (ROC Az). Performance was better on the LCD display with lower veiling glare compared to the CRT with higher veiling glare. The JNDmetrix model predicted the same pattern of results and the correlation between human and computer observers was high. Veiling glare can affect significantly observer performance in diagnostic radiology. A possible confound exists in that two different monitors were used and other physical parameters may contribute to the differences observed. A new set of studies is underway to remove that confound.

Original languageEnglish (US)
Article number43
Pages (from-to)423-429
Number of pages7
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Issue number26
StatePublished - 2004
EventMedical Imaging 2004 - Image Perception, Observer Performance, and Technology Assessment - San Diego, CA, United States
Duration: Feb 17 2004Feb 19 2004


  • Observer performance
  • Veiling glare
  • Vision model

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging


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