Paper
11 August 2023 Synthetic high-resolution, volumetric, and wide field-of-view optical coherence tomography images with generative adversarial networks
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Abstract
Optical Coherence Tomography (OCT) has been widely used in many clinical apartments. The trade-off between Field-of-View (FOV) and transverse resolution has always become critical. High-Resolution (HR) image reconstruction of OCT has the potential to increase the resolution without reducing the FOV. Although it has been widely explored in these years, it is hard to find one-to-one paired high-resolution for reference. The SR methods are used to improve the cross-sectional OCT image only. Therefore, we build a custom-design, wide field-of-view, multi-scale optical coherence tomography that can allow us to produce excellent high- and low-resolution one-to-one mapping volumetric data set. With the SR methods, we can reduce the acquisition of synthetic high-resolution volumetric images by up to four times.
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Chuan-Bor Chueh, Ting-Hao Chen, Yu-Yu Li, Ming-Che Tu, Shih-Jung Cheng, Cheng-Kuang Lee, Simon See, and Hsiang-Chieh Lee "Synthetic high-resolution, volumetric, and wide field-of-view optical coherence tomography images with generative adversarial networks", Proc. SPIE 12632, Optical Coherence Imaging Techniques and Imaging in Scattering Media V, 126321V (11 August 2023); https://doi.org/10.1117/12.2670516
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KEYWORDS
Optical coherence tomography

Associative arrays

Design and modelling

Image resolution

Image restoration

Super resolution

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