Improving lateral resolution and image quality of optical coherence tomography by the multi-frame superresolution technique for 3D tissue imaging

被引:25
|
作者
Shen, Kai [1 ]
Lu, Hui [1 ]
Baig, Sarfaraz [2 ]
Wang, Michael R. [1 ]
机构
[1] Univ Miami, Dept Elect & Comp Engn, 1251 Mem Dr, Coral Gables, FL 33146 USA
[2] Univ Miami, Dept Biomed Engn, 1251 Mem Dr, Coral Gables, FL 33146 USA
来源
BIOMEDICAL OPTICS EXPRESS | 2017年 / 8卷 / 11期
关键词
DECONVOLUTION METHODS; OCT; RECONSTRUCTION; RETINA; NOISE;
D O I
10.1364/BOE.8.004887
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The multi-frame superresolution technique is introduced to significantly improve the lateral resolution and image quality of spectral domain optical coherence tomography (SD-OCT). Using several sets of low resolution C-scan 3D images with lateral sub-spot-spacing shifts on different sets, the multi-frame superresolution processing of these sets at each depth layer reconstructs a higher resolution and quality lateral image. Layer by layer processing yields an overall high lateral resolution and quality 3D image. In theory, the superresolution processing including deconvolution can solve the diffraction limit, lateral scan density and background noise problems together. In experiment, the improved lateral resolution by similar to 3 times reaching 7.81 mu m and 2.19 mu m using sample arm optics of 0.015 and 0.05 numerical aperture respectively as well as doubling the image quality has been confirmed by imaging a known resolution test target. Improved lateral resolution on in vitro skin C-scan images has been demonstrated. For in vivo 3D SD-OCT imaging of human skin, fingerprint and retina layer, we used the multi-modal volume registration method to effectively estimate the lateral image shifts among different C-scans due to random minor unintended live body motion. Further processing of these images generated high lateral resolution 3D images as well as high quality B-scan images of these in vivo tissues. (C) 2017 Optical Society of America
引用
收藏
页码:4887 / 4918
页数:32
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