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Structural image-assisted artifact reduction in optical coherence tomography angiography

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【作者】 章文欣王康康周红潘俊唐世奇刘宁薛平陈建飞陆昱翀洪展鹏杨明宇

【Author】 Wenxin Zhang;Kangkang Wang;Hong Zhou;Jun Pan;Shiqi Tang;Ning Liu;Ping Xue;Jianfei Chen;Yuchong Lu;Zhanpeng Hong;Mingyu Yang;College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications;State Key Laboratory of Low-Dimensional Quantum Physics and Department of Physics, Tsinghua University, Collaborative Innovation Center of Quantum Matter;

【通讯作者】 章文欣;刘宁;

【机构】 College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and TelecommunicationsState Key Laboratory of Low-Dimensional Quantum Physics and Department of Physics, Tsinghua University, Collaborative Innovation Center of Quantum Matter

【摘要】 Tail artifacts are a significant issue in optical coherence tomography angiography [OCTA), as they cast shadows over underlying signals and interfere with the reconstruction of 3D vessel images. While many methods have been developed to reduce these artifacts, most only shorten the tails and fail to clearly distinguish between vessels and artifacts. In this Letter, we present an image processing technique designed to reduce artifacts. By combining structural images with OCTA images, we can more effectively distinguish between vessels and artifacts, leading to shorter and less pronounced tail artifacts. This method is integrated with other tail artifact removal techniques to further enhance image quality. The vessels of the palm are used as samples to experimentally demonstrate the effectiveness of our technique.

【Abstract】 Tail artifacts are a significant issue in optical coherence tomography angiography [OCTA), as they cast shadows over underlying signals and interfere with the reconstruction of 3D vessel images. While many methods have been developed to reduce these artifacts, most only shorten the tails and fail to clearly distinguish between vessels and artifacts. In this Letter, we present an image processing technique designed to reduce artifacts. By combining structural images with OCTA images, we can more effectively distinguish between vessels and artifacts, leading to shorter and less pronounced tail artifacts. This method is integrated with other tail artifact removal techniques to further enhance image quality. The vessels of the palm are used as samples to experimentally demonstrate the effectiveness of our technique.

【基金】 supported by the National Natural Science Foundation of China (No. 62205156)
  • 【文献出处】 Chinese Optics Letters ,中国光学快报(英文版) , 编辑部邮箱 ,2025年08期
  • 【分类号】TP391.41;R814
  • 【下载频次】2
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