Visual methods for determining ambient illumination conditions when viewing medical images in mobile display devices |
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| Authors: | Fahad Zafar Mina Choi Joel Wang Peter Liu Aldo Badano |
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| Affiliation: | 1. Department of Electrical and Computer Engineering, University of Maryland, Baltimore, MD, USA, and the Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, FDA, 259 Medwick Garth East Catonsville, MD 21228, USA.;2. Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, FDA, Catonsville, MD, USA, and the Department of Electrical and Computer Engineering, George Washington University, Washington, DC, USA.;3. Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, FDA, Catonsville, MD, USA |
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| Abstract: | Abstract— The quality of the displayed image on mobile devices is affected by the varying ambient illumination conditions. Determining appropriate viewing conditions for particular visual tasks requires time and the appropriate instrumentation. To this end, the usefulness of more practical visual tests for use in clinical environments were explored. Experiments to determine the limitations of mobile displays in terms of the visibility of subtle targets for different background luminance and ambient illumination with two mobile devices were conducted. A noise‐embedded text detection task and a threshold estimation staircase technique for a range of illuminance between 1 and 80,000 lx encompassing conditions found in dark reading rooms, office spaces, and outdoor scenarios has been compared. It was found that the text detection method holds promise as a surrogate for more complicated tests in the framework of a clinically practical implementation. |
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| Keywords: | Mobile displays medical imaging ambient illumination |
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