Ya Jiao, Heng Zhang, Lishan Zhi, Min Sun, Xuefeng Liu, Jichuan Xiong
{"title":"偏振参数成像技术在生物幻影近红外深度成像中的应用","authors":"Ya Jiao, Heng Zhang, Lishan Zhi, Min Sun, Xuefeng Liu, Jichuan Xiong","doi":"10.1109/UCET51115.2020.9205419","DOIUrl":null,"url":null,"abstract":"In optical imaging of biological tissues, surface reflection is a serious issue in many cases, while near-infrared (NIR) light can be used for deep imaging of biological tissues due to its strong tissue penetration ability and weaker light scattering in tissues. In this article, a method based on parametric imaging of the polarization status of reflected or transmitted light from biological tissues in the NIR spectrum was proposed. By modulating the polarization states of the NIR illumination source, recording the images of the samples, the far-field variation of the pixel intensity of recorded images was fitted to a theoretical model, and a series of polarization parametric images were obtained. These images describe the relation between the polarization status of the reflected or transmitted light and the properties of the samples. A tissue phantom with deep buried test target was imaged successfully. This method can provide a useful detection method for the deep imaging of biomedical tissues.","PeriodicalId":163493,"journal":{"name":"2020 International Conference on UK-China Emerging Technologies (UCET)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Near-infrared Deep Imaging of Biological Phantom by Polarization Parametric Imaging\",\"authors\":\"Ya Jiao, Heng Zhang, Lishan Zhi, Min Sun, Xuefeng Liu, Jichuan Xiong\",\"doi\":\"10.1109/UCET51115.2020.9205419\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In optical imaging of biological tissues, surface reflection is a serious issue in many cases, while near-infrared (NIR) light can be used for deep imaging of biological tissues due to its strong tissue penetration ability and weaker light scattering in tissues. In this article, a method based on parametric imaging of the polarization status of reflected or transmitted light from biological tissues in the NIR spectrum was proposed. By modulating the polarization states of the NIR illumination source, recording the images of the samples, the far-field variation of the pixel intensity of recorded images was fitted to a theoretical model, and a series of polarization parametric images were obtained. These images describe the relation between the polarization status of the reflected or transmitted light and the properties of the samples. A tissue phantom with deep buried test target was imaged successfully. This method can provide a useful detection method for the deep imaging of biomedical tissues.\",\"PeriodicalId\":163493,\"journal\":{\"name\":\"2020 International Conference on UK-China Emerging Technologies (UCET)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on UK-China Emerging Technologies (UCET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UCET51115.2020.9205419\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on UK-China Emerging Technologies (UCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UCET51115.2020.9205419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Near-infrared Deep Imaging of Biological Phantom by Polarization Parametric Imaging
In optical imaging of biological tissues, surface reflection is a serious issue in many cases, while near-infrared (NIR) light can be used for deep imaging of biological tissues due to its strong tissue penetration ability and weaker light scattering in tissues. In this article, a method based on parametric imaging of the polarization status of reflected or transmitted light from biological tissues in the NIR spectrum was proposed. By modulating the polarization states of the NIR illumination source, recording the images of the samples, the far-field variation of the pixel intensity of recorded images was fitted to a theoretical model, and a series of polarization parametric images were obtained. These images describe the relation between the polarization status of the reflected or transmitted light and the properties of the samples. A tissue phantom with deep buried test target was imaged successfully. This method can provide a useful detection method for the deep imaging of biomedical tissues.