Measuring Image Quality of ENT Chip-on-tip Endoscopes

IF 0.6 4区 计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
G. Geleijnse, M. Hakkesteegt, J. D. Groot, R. M. Metselaar
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引用次数: 1

Abstract

Abstract ENT-flexible endoscopes are important for nasopharyngoscopy examinations. However, hospitals do not apply standardized tests to assess the image quality of the endoscopes they use or consider to purchase. The authors evaluated the Rez Checker Target Nano Matte, a test chart that was designed by Image Science Associates for this purpose. The target was placed in a custom setup designed to position the endoscope tip at a distance of 3.0 cm. The primary metrics, including opto-electronic conversion function, noise, modulation transfer function, and color fidelity, were measured using a custom MATLAB script for the Pentax VNL9-CP, Olympus ENF-V4, and Xion XN HD flexible endoscope. For each of these endoscopes, three examples were measured ten times. In addition, 38 Pentax VNL9-CP endoscopes that are regularly used in their clinic were measured to validate this method for the purpose of quality control. They found that the Rez Checker Target Nano Matte can be used to reliably assess image performance metrics for both procurement and quality control. Whether better image quality also improves the diagnostic accuracy of the ENT-specialist seems plausible, but has to be established.
耳鼻喉科尖端芯片内窥镜图像质量的测量
柔性内窥镜在鼻咽镜检查中具有重要的应用价值。然而,医院没有采用标准化测试来评估他们使用或考虑购买的内窥镜的图像质量。作者评估了Rez Checker Target Nano Matte,这是图像科学协会为此目的设计的测试图表。目标被放置在一个定制的装置中,该装置旨在将内窥镜尖端定位在3.0 cm的距离上。主要指标包括光电转换函数、噪声、调制传递函数和色彩保真度,使用宾得VNL9-CP、奥林巴斯ENF-V4和Xion XN HD柔性内窥镜的定制MATLAB脚本进行测量。对于每一个内窥镜,三个例子被测量了十次。此外,对38台宾得VNL9-CP内窥镜进行了测量,以验证该方法的质量控制。他们发现,Rez检查目标纳米哑光可以用来可靠地评估采购和质量控制的图像性能指标。更好的图像质量是否也能提高耳鼻喉科专家的诊断准确性似乎是合理的,但还有待证实。
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来源期刊
Journal of Imaging Science and Technology
Journal of Imaging Science and Technology 工程技术-成像科学与照相技术
CiteScore
2.00
自引率
10.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: Typical issues include research papers and/or comprehensive reviews from a variety of topical areas. In the spirit of fostering constructive scientific dialog, the Journal accepts Letters to the Editor commenting on previously published articles. Periodically the Journal features a Special Section containing a group of related— usually invited—papers introduced by a Guest Editor. Imaging research topics that have coverage in JIST include: Digital fabrication and biofabrication; Digital printing technologies; 3D imaging: capture, display, and print; Augmented and virtual reality systems; Mobile imaging; Computational and digital photography; Machine vision and learning; Data visualization and analysis; Image and video quality evaluation; Color image science; Image archiving, permanence, and security; Imaging applications including astronomy, medicine, sports, and autonomous vehicles.
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