PIXEL RECONSTRUCTION FOR SPECKLE REDUCTION IN 3D OPTICAL COHERENCE TOMOGRAPHY OF RETINA

被引:0
作者
Cheng, Jun [1 ]
Zhao, Yitian [1 ]
Hu, Yan [1 ]
Liu, Jiang [1 ]
机构
[1] Chinese Acad Sci, Cixi Inst Biomed Engn, Beijing, Peoples R China
来源
2019 IEEE 16TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2019) | 2019年
关键词
noise reduction; optical coherence tomography; matrix completion; IMAGES; SPARSE;
D O I
10.1109/isbi.2019.8759399
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Speckle noise reduction in optical coherence tomography (OCT) is important for better visualization and analysis in retinal imaging. This paper proposes a novel pixel reconstruction based method to reduce speckle noise in 3D OCT of retina. In the proposed method, each pixel is estimated as the sum of a noise-free part and a noise part, which are solved by axial-scan based alignment and a low rank matrix completion algorithm. Evaluated in a data set of 20 volumes, results show that the proposed method effectively reduces the noise. The technology is beneficial and can be used in OCT machines.
引用
收藏
页码:1424 / 1427
页数:4
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