Super-Resolution of Optical Coherence Tomography Images by Scale Mixture Models

2020 ◽  
Vol 29 ◽  
pp. 5662-5676
Author(s):  
Parisa Ghaderi Daneshmand ◽  
Hossein Rabbani ◽  
Alireza Mehridehnavi
Keyword(s):  
Optical Coherence Tomography ◽  
Mixture Models ◽  
Super Resolution ◽  
Optical Coherence ◽  
Scale Mixture

scholarly journals Spectral estimation optical coherence tomography for axial super-resolution

2015 ◽  
Vol 23 (20) ◽  
pp. 26521 ◽  
Author(s):  
Xinyu Liu ◽  
Si Chen ◽  
Dongyao Cui ◽  
Xiaojun Yu ◽  
Linbo Liu
Keyword(s):  
Optical Coherence Tomography ◽  
Spectral Estimation ◽  
Super Resolution ◽  
Optical Coherence

Gan-Based Super-Resolution and Segmentation of Retinal Layers in Optical Coherence Tomography Scans

2021 ◽  
Author(s):  
Paria Jeihouni ◽  
Omid Dehzangi ◽  
Annahita Amireskandari ◽  
Ali Rezai ◽  
Nasser M. Nasrabadi
Keyword(s):  
Optical Coherence Tomography ◽  
Super Resolution ◽  
Optical Coherence ◽  
Retinal Layers

scholarly journals Fast and accurate spectral estimation axial super resolution optical coherence tomography

2021 ◽  
Author(s):  
Jos de Wit ◽  
Konstantinos Angelopoulos ◽  
Jeroen Kalkman ◽  
George Othon Glentis
Keyword(s):  
Optical Coherence Tomography ◽  
Spectral Estimation ◽  
Super Resolution ◽  
Optical Coherence

scholarly journals Simultaneous denoising and super-resolution of optical coherence tomography images based on generative adversarial network

2019 ◽  
Vol 27 (9) ◽  
pp. 12289 ◽  
Author(s):  
Yongqiang Huang ◽  
Zexin Lu ◽  
Zhimin Shao ◽  
Maosong Ran ◽  
Jiliu Zhou ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Super Resolution ◽  
Optical Coherence ◽  
Generative Adversarial Network ◽  
Adversarial Network

scholarly journals Axial Super-Resolution Study for Optical Coherence Tomography Images Via Deep Learning

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 204941-204950
Author(s):  
Zhuoqun Yuan ◽  
Di Yang ◽  
Hongming Pan ◽  
Yanmei Liang
Keyword(s):  
Optical Coherence Tomography ◽  
Deep Learning ◽  
Super Resolution ◽  
Optical Coherence ◽  
Resolution Study

Enhanced-Resolution Optical Coherence Tomography Imaging

2016 ◽  
Vol 235 (3) ◽  
pp. 163-172 ◽  
Author(s):  
Akihito Uji ◽  
Tomoaki Murakami ◽  
Shigeta Arichika ◽  
Yuki Muraoka ◽  
Shin Yoshitake ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Image Quality ◽  
Super Resolution ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Optical Coherence ◽  
Enhanced Resolution ◽  
Opinion Score ◽  
Significant Difference ◽  
Bicubic Interpolation

Purpose: The effect of the enhanced-resolution imaging (ERI) technique on optical coherence tomography (OCT) images was evaluated. Methods: A total of 5 healthy subjects and 20 patients diagnosed with various eye diseases were recruited into the study. ERI, a novel image processing technique, was accomplished by using super-resolution technology, and was assessed by objectively and subjectively comparing the image quality among three different image groups: images enlarged without bicubic interpolation (NONE), with bicubic interpolation (IP), and with ERI. Results: ERI showed a higher ratio of the detailed variance to the background variance than NONE, whereas no significant difference was detected between NONE and IP. The mean opinion score of 5 experienced retinal specialists for ERI was significantly higher than that for IP. Conclusions: ERI generated a sharper image and clearly visualized small objects. Additionally, it is effective in enhancing OCT image quality.

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