Image Quality Assessment for Endoscopy Applications

R. Nishitha, Amalan Sebastin, Shubham Sharma, Ajay Kumar Gurrala, P. PreejithS., J. Joseph, M. Sivaprakasam
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引用次数: 4

Abstract

Assessment of image quality parameters in medical applications is crucial to produce high quality images that would significantly improve diagnoses and therapies. Solutions available in the market to assess the image quality provide experimental setups, standard test charts, and illumination setups. Parameters like sharpness, geometric distortion, and dynamic range require separate test charts and therefore can only be measured one at a time. In this paper, a single test chart to measure most of the image quality parameters has been described. A single image of this test chart could provide assessment of all the parameters considered. The size of the test chart could be customized according to the endoscopy application. An experimental setup was also designed in-house. This approach helped in developing a comprehensive and inexpensive assessment technique complying with the International Organization of Standardization (ISO) standards. Currently, the algorithms work with still images and could be extended to assess how the measured parameters would vary on a live video stream.
内窥镜应用的图像质量评估
医学应用中图像质量参数的评估对于产生高质量的图像至关重要,这将显著改善诊断和治疗。市场上可用的评估图像质量的解决方案提供了实验设置、标准测试图表和照明设置。像清晰度、几何失真和动态范围这样的参数需要单独的测试图表,因此一次只能测量一个。在本文中,描述了一个单一的测试图来测量大多数图像质量参数。该测试图的单个图像可以提供所考虑的所有参数的评估。测试图的大小可以根据内窥镜的应用定制。内部还设计了一个实验装置。这种方法有助于开发一种符合国际标准化组织(ISO)标准的全面而廉价的评估技术。目前,该算法适用于静态图像,并可以扩展到评估实时视频流中测量参数的变化情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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