Super-Resolution Reconstruction of Optical Coherence Tomography Retinal Images by Generating Adversarial Network

Shuting Ke; Minghui Chen; Zexi Zheng; Yuan Yuan; Teng Wang; Longxi He; Linjie Lü; Hao Sun

doi:10.3788/CJL202249.1507203

Chinese Journal of Lasers, Volume. 49, Issue 15, 1507203(2022)

Super-Resolution Reconstruction of Optical Coherence Tomography Retinal Images by Generating Adversarial Network

Shuting Ke¹, Minghui Chen^1、*, Zexi Zheng², Yuan Yuan¹, Teng Wang¹, Longxi He¹, Linjie Lü¹, and Hao Sun¹

¹Shanghai Engineering Research Center of Interventional Medical Device, the Ministry of Education of Medical Optical Engineering Center, School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

²School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

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Fig. 1. Structure of PPECA-SRGAN

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Fig. 2. Structure of PANet

Fig. 3. PECA module

Fig. 4. SPC module

Fig. 5. ECA module

Fig. 6. Super-resolution reconstruction of normal image by different models. (a) High resolution image; (b) low resolution image; (c) reconstructed image by SRResNet; (d) reconstructed image by SRGAN; (e) reconstructed image by ESRGAN; (f) reconstructed image by PPECA-SRGAN

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Fig. 7. Super-resolution reconstruction of pathological image by different models. (a) High resolution image; (b) low resolution image; (c) reconstructed image by SRResNet; (d) reconstructed image by SRGAN; (e) reconstructed image by ESRGAN; (f) reconstructed image by PPECA-SRGAN

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Table 1. Comparison of SSIM indexes of images reconstructed by 4 times of different models
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Table 1. Comparison of SSIM indexes of images reconstructed by 4 times of different models
Model SSIM
Data set 1 Data set 2
SRResNet 0.764 0.733
SRGAN 0.813 0.809
ESRGAN 0.827 0.818
PPECA-SRGAN 0.842 0.835

Table 2. Comparison of PSNR indexes of images reconstructed by 4 times of different models
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Table 2. Comparison of PSNR indexes of images reconstructed by 4 times of different models
Model PSNR /dB
Data set 1 Data set 2
SRResNet 30.53 30.36
SRGAN 31.94 31.82
ESRGAN 32.18 32.07
PPECA-SRGAN 32.69 32.48

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Shuting Ke, Minghui Chen, Zexi Zheng, Yuan Yuan, Teng Wang, Longxi He, Linjie Lü, Hao Sun. Super-Resolution Reconstruction of Optical Coherence Tomography Retinal Images by Generating Adversarial Network[J]. Chinese Journal of Lasers, 2022, 49(15): 1507203

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Paper Information

Category: Biomedical Optical Imaging

Received: Dec. 14, 2021

Accepted: Jan. 14, 2022

Published Online: Jul. 29, 2022

The Author Email: Chen Minghui (cmhui.43@163.com)

DOI:10.3788/CJL202249.1507203

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Comparison of SSIM indexes of images reconstructed by 4 times of different models

Table 1. Comparison of SSIM indexes of images reconstructed by 4 times of different models

Table 2. Comparison of PSNR indexes of images reconstructed by 4 times of different models

Table 2. Comparison of PSNR indexes of images reconstructed by 4 times of different models