Optical tests for using smartphones inside medical devices

Amir S. Bernat; Jennifer K. Acobas; Ye Shang Phang; David Hassan; Frank J. Bolton; David Levitz

doi:10.1117/12.2291508

19 February 2018 Optical tests for using smartphones inside medical devices

Amir S. Bernat, Jennifer K. Acobas , Ye Shang Phang, David Hassan, Frank J. Bolton, David Levitz

Proceedings Volume 10486, Design and Quality for Biomedical Technologies XI; 104860Y (2018) https://doi.org/10.1117/12.2291508
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

Smartphones are currently used in many medical applications and are more frequently being integrated into medical imaging devices. The regulatory requirements in existence today however, particularly the standardization of smartphone imaging through validation and verification testing, only partially cover imaging characteristics with a smartphone. Specifically, it has been shown that smartphone camera specifications are of sufficient quality for medical imaging, and there are devices which comply with the FDA’s regulatory requirements for a medical device such as a device’s field of view, direction of viewing and optical resolution and optical distortion. However, these regulatory requirements do not call specifically for color testing. Images of the same object using automatic settings or different light sources can show different color composition. Experimental results showing such differences are presented. Under some circumstances, such differences in color composition could potentially lead to incorrect diagnoses. It is therefore critical to control the smartphone camera and illumination parameters properly. This paper examines different smartphone camera settings that affect image quality and color composition. To test and select the correct settings, a test methodology is proposed. It aims at evaluating and testing image color correctness and white balance settings for mobile phones and LED light sources. Emphasis is placed on color consistency and deviation from gray values, specifically by evaluating the ΔC values based on the CIEL*a*b* color space. Results show that such standardization minimizes differences in color composition and thus could reduce the risk of a wrong diagnosis.

Conference Presentation

Citation Download Citation

Amir S. Bernat, Jennifer K. Acobas , Ye Shang Phang, David Hassan, Frank J. Bolton, and David Levitz "Optical tests for using smartphones inside medical devices", Proc. SPIE 10486, Design and Quality for Biomedical Technologies XI, 104860Y (19 February 2018); https://doi.org/10.1117/12.2291508

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