R. Nishitha, Amalan Sebastin, Shubham Sharma, Ajay Kumar Gurrala, P. PreejithS., J. Joseph, M. Sivaprakasam
{"title":"Image Quality Assessment for Endoscopy Applications","authors":"R. Nishitha, Amalan Sebastin, Shubham Sharma, Ajay Kumar Gurrala, P. PreejithS., J. Joseph, M. Sivaprakasam","doi":"10.1109/MeMeA52024.2021.9478603","DOIUrl":null,"url":null,"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.","PeriodicalId":429222,"journal":{"name":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MeMeA52024.2021.9478603","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.