{"title":"基于自适应动态分析的光学相干断层血管成像血管尾部伪影抑制","authors":"Junxiong Zhou, Yuntao Li, Jianbo Tang","doi":"10.1109/OGC55558.2022.10050995","DOIUrl":null,"url":null,"abstract":"Optical coherence tomography angiography (OCTA) for blood vessel 3-D structure imaging suffers from blood vessel tail artifacts when using a long decorrelation time (e.g., repeat B-scan acquisition in regular OCTA) or loss of micro vessel signal when using a short decorrelation time. In this work, we developed an adaptive first order field autocorrelation function (g1) analysis-based technique to suppress the tail artifacts under macro vessels while enhancing the dynamic signal of micro vessels. The proposed method is based on the differences of the decorrelation rate and the phase variations of g1 between the vessel voxels and the artifacts regions. A short or a long decorrelation time was applied to obtain the dynamic index of the tail artifacts region or the blood vessel region, respectively. Compared to the post image processing-based techniques, the proposed approach addresses this problem through the physical basis and shows a good performance in suppressing the tail artifacts while enhancing the detection of the micro vessels.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive Dynamic Analysis-based Optical Coherence Tomography Angiography for Blood Vessel Tail Artifacts Suppression\",\"authors\":\"Junxiong Zhou, Yuntao Li, Jianbo Tang\",\"doi\":\"10.1109/OGC55558.2022.10050995\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optical coherence tomography angiography (OCTA) for blood vessel 3-D structure imaging suffers from blood vessel tail artifacts when using a long decorrelation time (e.g., repeat B-scan acquisition in regular OCTA) or loss of micro vessel signal when using a short decorrelation time. In this work, we developed an adaptive first order field autocorrelation function (g1) analysis-based technique to suppress the tail artifacts under macro vessels while enhancing the dynamic signal of micro vessels. The proposed method is based on the differences of the decorrelation rate and the phase variations of g1 between the vessel voxels and the artifacts regions. A short or a long decorrelation time was applied to obtain the dynamic index of the tail artifacts region or the blood vessel region, respectively. Compared to the post image processing-based techniques, the proposed approach addresses this problem through the physical basis and shows a good performance in suppressing the tail artifacts while enhancing the detection of the micro vessels.\",\"PeriodicalId\":177155,\"journal\":{\"name\":\"2022 IEEE 7th Optoelectronics Global Conference (OGC)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 7th Optoelectronics Global Conference (OGC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OGC55558.2022.10050995\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OGC55558.2022.10050995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optical coherence tomography angiography (OCTA) for blood vessel 3-D structure imaging suffers from blood vessel tail artifacts when using a long decorrelation time (e.g., repeat B-scan acquisition in regular OCTA) or loss of micro vessel signal when using a short decorrelation time. In this work, we developed an adaptive first order field autocorrelation function (g1) analysis-based technique to suppress the tail artifacts under macro vessels while enhancing the dynamic signal of micro vessels. The proposed method is based on the differences of the decorrelation rate and the phase variations of g1 between the vessel voxels and the artifacts regions. A short or a long decorrelation time was applied to obtain the dynamic index of the tail artifacts region or the blood vessel region, respectively. Compared to the post image processing-based techniques, the proposed approach addresses this problem through the physical basis and shows a good performance in suppressing the tail artifacts while enhancing the detection of the micro vessels.