Simplifying intensity variance analysis for optical coherence tomography-based angiography

Chaojiang Yang; Jiang Zhu; Fan Fan; Zongqing Ma; Fan Zhang

doi:10.1117/12.2642045

19 December 2022 Simplifying intensity variance analysis for optical coherence tomography-based angiography

Chaojiang Yang, Jiang Zhu, Fan Fan, Zongqing Ma, Fan Zhang

Proceedings Volume 12320, Optics in Health Care and Biomedical Optics XII; 123201P (2022) https://doi.org/10.1117/12.2642045
Event: SPIE/COS Photonics Asia, 2022, Online Only

Conference Poster

Abstract

Optical coherence tomography-based angiography (OCTA) is a high-resolution imaging technology for mapping microvascular networks in vivo. Intensity variance OCTA methods have been developed for blood flow analysis. However, the complex statistical calculations of intensity variances result in high computational costs. In this study, we developed statistical algorithms for simplifying estimates of the intensity variances, including the range, the mean error, and the maximum error algorithms. A rat cerebral cortex was imaged by the simplified algorithms and the conventional algorithm. The number of repeated samplings was compared for the intensity variance analysis. Then the image quality and the calculation time were assessed. The results show that the simplified algorithms can shorten the calculation time and generate microvascular networks with similar image quality compared to the conventional intensity variance OCTA algorithm.

Citation Download Citation

Chaojiang Yang, Jiang Zhu, Fan Fan, Zongqing Ma, and Fan Zhang "Simplifying intensity variance analysis for optical coherence tomography-based angiography", Proc. SPIE 12320, Optics in Health Care and Biomedical Optics XII, 123201P (19 December 2022); https://doi.org/10.1117/12.2642045

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