Presentation
5 March 2021 Improvement of decorrelation-based OCT angiography by an adaptive spatial-temporal kernel in monitoring stimulus-evoked hemodynamic responses
Ruixiang Chen, Lin Yao, Kaiyuan Liu, Tongtong Cao, Huakun Li, Peng Li
Author Affiliations +
Abstract
Complex decorrelation-based OCT angiography (OCTA) has the potential for quantitively monitoring hemodynamic activities. To improve the dynamic range and uncertainty for quantification, an adaptive spatial-temporal (ST) kernel was proposed. The ensemble size in decorrelation computation was enlarged by collecting samples in the spatial/ temporal dimensions. The spatial sub-kernel size was adaptively changed to suppress the bulk motion influence by solving a maximum entropy model. The improvement of dynamic range and uncertainty were validated by theoretical analyzation, numerical simulation, and in vitro/ in vivo experiments. Furthermore, proved by the in vivo experiments, the adaptive ST-kernel can also improve the separability between different stimuli and allow a reliable temporal analysis of the hemodynamic response.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruixiang Chen, Lin Yao, Kaiyuan Liu, Tongtong Cao, Huakun Li, and Peng Li "Improvement of decorrelation-based OCT angiography by an adaptive spatial-temporal kernel in monitoring stimulus-evoked hemodynamic responses", Proc. SPIE 11641, Dynamics and Fluctuations in Biomedical Photonics XVIII, 116410E (5 March 2021); https://doi.org/10.1117/12.2577517
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KEYWORDS
Hemodynamics

Angiography

Optical coherence tomography

Blood circulation

Motion analysis

Motion models

Numerical simulations

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