Dynamic inverse SNR-decorrelation OCT angiography with GPU acceleration

Kaiyuan Liu; Tiepei Zhu; Xiaoting Yin; Juan Ye; Peng Li

doi:10.1117/12.2648978

27 March 2023 Dynamic inverse SNR-decorrelation OCT angiography with GPU acceleration

Kaiyuan Liu, Tiepei Zhu, Xiaoting Yin, Juan Ye, Peng Li

Proceedings Volume PC12378, Dynamics and Fluctuations in Biomedical Photonics XX; PC123780F (2023) https://doi.org/10.1117/12.2648978
Event: SPIE BiOS, 2023, San Francisco, California, United States

Conference Poster

Abstract

Dynamic OCT angiography (OCTA) is an attractive approach for monitoring stimulus-evoked hemodynamics; however, a large dataset poses a great challenge to data processing. This study proposed a GPU-based real-time data processing pipeline for dynamic inverse SNR-decorrelation OCTA (ID-OCTA) with line-process rate of 133 kHz. Real-time processing enabled automatic optimization of angiogram quality, which improved the vessel SNR, contrast-to-noise ratio, and connectivity by 14.37, 14.08, and 9.76%, respectively. Furthermore, dynamic angiographic imaging of stimulus-evoked hemodynamics was achieved within a single trail in the mouse retina. Therefore, GPU ID-OCTA enables real-time and high-quality angiographic imaging and is particularly suitable for hemodynamic studies.

Citation Download Citation

Kaiyuan Liu, Tiepei Zhu, Xiaoting Yin, Juan Ye, and Peng Li "Dynamic inverse SNR-decorrelation OCT angiography with GPU acceleration", Proc. SPIE PC12378, Dynamics and Fluctuations in Biomedical Photonics XX, PC123780F (27 March 2023); https://doi.org/10.1117/12.2648978

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