Best Practices for Measuring the Modulation Transfer Function of Video Endoscopes

Endoscopes are crucial for assisting in surgery and disease diagnosis, including the early detection of cancer. The effective use of endoscopes relies on their optical performance, which can be characterized with a series of metrics such as resolution, vital for revealing anatomical details. The modulation transfer function (MTF) is a key metric for evaluating endoscope resolution. However, the 2020 version of the ISO 8600-5 standard, while introducing an endoscope MTF measurement method, lacks empirical validation and excludes opto-electronic video endoscopes, the largest family of endoscopes. Measuring the MTF of video endoscopes requires tailored standards that address their unique characteristics. This paper aims to expand the scope of ISO 8600-5:2020 to include video endoscopes, by optimizing the MTF test method and addressing parameters affecting measurement accuracy. We studied the effects of intensity and uniformity of image luminance, chart modulation compensation, linearity of image digital values, auto gain control, image enhancement, image compression and the region of interest dimensions on images of slanted-edge test charts, and thus the MTF based on these images. By analyzing these effects, we provided recommendations for setting and controlling these factors to obtain accurate MTF curves. Our goal is to enhance the standard's relevance and effectiveness for measuring the MTF of a broader range of endoscopic devices, with potential applications in the MTF measurement of other digital imaging devices.

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Publication Details

Journal
Sensors
Published
2024-08-05
DOI
https://doi.org/10.3390/s24155075
Citations
3
Primary Topic
Color Science and Applications
Type
article
Field-Weighted Citation Impact
1.01

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article

Best Practices for Measuring the Modulation Transfer Function of Video Endoscopes

Chinh Doan Tran, N.M. Namazi, Quanzeng Wang, Peter D. Burns
3 citations
Sensors
Color Science and Applications
1.01
article

Best Practices for Measuring the Modulation Transfer Function of Video Endoscopes

Chinh Doan Tran, N.M. Namazi, Quanzeng Wang, Peter D. Burns
article en
3 citations

Abstract

Endoscopes are crucial for assisting in surgery and disease diagnosis, including the early detection of cancer. The effective use of endoscopes relies on their optical performance, which can be characterized with a series of metrics such as resolution, vital for revealing anatomical details. The modulation transfer function (MTF) is a key metric for evaluating endoscope resolution. However, the 2020 version of the ISO 8600-5 standard, while introducing an endoscope MTF measurement method, lacks empirical validation and excludes opto-electronic video endoscopes, the largest family of endoscopes. Measuring the MTF of video endoscopes requires tailored standards that address their unique characteristics. This paper aims to expand the scope of ISO 8600-5:2020 to include video endoscopes, by optimizing the MTF test method and addressing parameters affecting measurement accuracy. We studied the effects of intensity and uniformity of image luminance, chart modulation compensation, linearity of image digital values, auto gain control, image enhancement, image compression and the region of interest dimensions on images of slanted-edge test charts, and thus the MTF based on these images. By analyzing these effects, we provided recommendations for setting and controlling these factors to obtain accurate MTF curves. Our goal is to enhance the standard's relevance and effectiveness for measuring the MTF of a broader range of endoscopic devices, with potential applications in the MTF measurement of other digital imaging devices.

SensorsVol. 24(15)
Center for Devices and Radiological Health (US), University of America (US), Catholic University of America (US)
Intuitive Surgical
Openalex Percentile: Top 25%
Color Science and Applications
1.01
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Best Practices for Measuring the Modulation Transfer Function of Video Endoscopes — Chinh Doan Tran, N.M. Namazi, et al. · Sensors (2024) | TGRS Research Map | TGRS