A Regularization Method for Deconvolution of Optical Coherence Tomography Image

被引：0
|
作者：
Du, Yina [1 ]
Ren, Shangjie [1 ]
Xu, Jingjiang [2 ]
Dong, Feng [1 ]
机构：
[1] Tianjin Univ, Sch Elect & Informat Engn, Tianjin Key Lab Proc Measurement & Control, Tianjin 300072, Peoples R China
[2] Foshan Univ, Sch Phys & Optoelect Engn, Foshan 528000, Peoples R China
来源：
PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年
关键词：
Optical coherence tomography; Resolution Enhance; Point spread function; Deconvolution; Regulation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A deconvolution method is proposed for enhancing the spatial resolution of Optical Coherent Tomogaphy (OCT) image in the defocused region. An analytic expression of the Point Spread Function (PSF) is built according to the Gaussian beam model. With the analytic PSF model, the deconvolution problem of the OCT image is modeled with the least square equation and solved with the Gaussian Newton method. The proposed regularization method is compared with the well-established Richardson-Lucy (RL) method. Numerical and experimental results show that this method can effectively reconstruct the image of the OCT defocus region, especially for the significantly out of focus OCT images.
引用
收藏
页码：2827 / 2832
页数：6
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