Visual glare limits of HDR displays in medical imaging. Issue 7 (31st August 2018)

• Record Type: Journal Article
• Authors: Rizzi, Alessandro; Barricelli, Barbara Rita; Bonanomi, Cristian; Albani, Luigi; Gianini, Gabriele
• Is Part Of: IET computer vision. Volume 12:Issue 7(2018)
• Page Start: 976
• Page End: 988
• Publication Date: 2018-08-31
• Subjects: computer displays -- brightness -- eye -- medical image processing; glare mechanism -- medical images -- human capabilities -- human vision -- HDR imaging systems -- visual glare limits -- HDR displays -- high dynamic range monitors -- human visual system -- HVS -- visual response -- typical HDR display -- medical imaging applications -- visible dynamic range -- inter-ocular glare -- HDR medical radiographic images -- luminance-equivalent backgrounds -- visual information -- visual information perception -- HDR content; Computer vision -- Periodicals; Pattern recognition systems -- Periodicals; 006.37
• DOI: 10.1049/iet-cvi.2018.5252
• Languages: English
• ISSNs: 1751-9632

Abstract

Abstract : Emerging display technologies are proposing monitors for medical imaging with an extended dynamic range of luminance. Those devices offer the opportunity to extend the range of visual information displayed, but the limits of the human visual system (HVS) in perceiving such information can cancel the advantages. To investigate this problem, we present a set of experiments, to assess the visual response of the HVS to controlled high dynamic range (HDR) content. They analyse the effects of glare. Using a typical HDR display, tailored for medical imaging applications, they first study the dependence of the visible dynamic range from the inter‐ocular glare, induced by different backgrounds, then the effect of glare on the detection of test elements on medical radiographic images. Finally, they assess the influence of luminance‐equivalent backgrounds with different structure in the detection of test patches. The results of the experiments confirm the glare as a major player in influencing visual information detection. Glare has a significant impact in limiting the amount of visual information actually perceived, consequently limiting analysis capabilities of such images. This confirms the importance of investigating and considering the characteristics of human vision in the design and test of HDR imaging systems.