2D transform-domain Fourier filters for eliminating microsaccade noise in en face optical coherence tomography angiography

Jianlong Yang; Liyang Fang; Yan Hu; Yitian Zhao; Yalin Zheng; Jiang Liu

doi:10.1117/12.2527041

19 July 2019 2D transform-domain Fourier filters for eliminating microsaccade noise in en face optical coherence tomography angiography

Jianlong Yang, Liyang Fang, Yan Hu, Yitian Zhao, Yalin Zheng, Jiang Liu

Author Affiliations +

Proceedings Volume 11078, Optical Coherence Imaging Techniques and Imaging in Scattering Media III; 110781U (2019) https://doi.org/10.1117/12.2527041
Event: European Conferences on Biomedical Optics, 2019, Munich, Germany

Abstract

images. We propose to use 2D Fourier filters in different transform domains including Fourier, wavelet, and nonsubsampled contourlet domains to eliminate this kind of noise. We used image entropy and vessel density as the metrics to evaluate their performance on noise elimination, we found that filtering after the nonsubsampled contourlet transform (NSCT) was the best choice among these approaches. For vessel preservation, the wavelet-domain filtering has the advantage of keeping signal-to-noise ratio while the NSCT filtering can preserve structure similarity to the most extent.

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Jianlong Yang, Liyang Fang, Yan Hu, Yitian Zhao, Yalin Zheng, and Jiang Liu "2D transform-domain Fourier filters for eliminating microsaccade noise in en face optical coherence tomography angiography", Proc. SPIE 11078, Optical Coherence Imaging Techniques and Imaging in Scattering Media III, 110781U (19 July 2019); https://doi.org/10.1117/12.2527041

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KEYWORDS

Angiography

Optical coherence tomography

Signal to noise ratio

Fourier transforms

Image filtering

Optical filters

Denoising

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