Image quality characterization of near‐eye displays

Abstract We review the literature and relevant standards related to image quality characterization of medical devices using near‐eye displays (NEDs). First, we discuss the experimental considerations for NED measurements and the methods for aligning the light measuring device (LMD) to the NED. Second, we discuss measurement methods for several critical image quality characteristics, namely luminance, contrast, spatial resolution, geometrical distortion, and spatiotemporal properties including the methods' limitations. These characteristics were selected due to the importance of medical device NED applications. Finally, modeling methods for image quality of NEDs are discussed. Accurate and reproducible evaluation methods for image quality are essential for the safe and effective adoption of augmented and virtual reality NEDs into medical applications.

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Publication Details

Journal
Journal of the Society for Information Display
Published
2024-11-12
DOI
https://doi.org/10.1002/jsid.2015
Citations
3
Primary Topic
Advanced Optical Imaging Technologies
Type
article
Field-Weighted Citation Impact
0.96
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article

Image quality characterization of near‐eye displays

Ryan Beams, Aldo Badano, Chumin Zhao
3 citations
Journal of the Society for Information Display
Advanced Optical Imaging Technologies
0.96
article

Image quality characterization of near‐eye displays

Ryan Beams, Aldo Badano, Chumin Zhao
article en
3 citations

Abstract

Abstract We review the literature and relevant standards related to image quality characterization of medical devices using near‐eye displays (NEDs). First, we discuss the experimental considerations for NED measurements and the methods for aligning the light measuring device (LMD) to the NED. Second, we discuss measurement methods for several critical image quality characteristics, namely luminance, contrast, spatial resolution, geometrical distortion, and spatiotemporal properties including the methods' limitations. These characteristics were selected due to the importance of medical device NED applications. Finally, modeling methods for image quality of NEDs are discussed. Accurate and reproducible evaluation methods for image quality are essential for the safe and effective adoption of augmented and virtual reality NEDs into medical applications.

Journal of the Society for Information DisplayVol. 33(3)
United States Food and Drug Administration (US), Center for Devices and Radiological Health (US)
Openalex Percentile: Top 20%
Advanced Optical Imaging Technologies
0.96
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