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

页码：1424 / 1427

页数：4

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