Optical coherence tomography angiography for mapping cerebral microvasculature based on normalized differentiation analysis
Funding information: Key Research Cultivation Project of Beijing Information Science and Technology University for Promoting University Connotative Development and Improving Research Level, Grant/Award Number: 2019KYNH205; National Natural Science Foundation of China, Grant/Award Number: 61975019; Research Project of Beijing Municipal Education Commission, Grant/Award Number: KZ202011232050; Start-up Foundation of Beijing Information Science and Technology University, Grant/Award Number: 5029011104
Abstract
Optical coherence tomography angiography (OCTA) is a label-free, noninvasive biomedical imaging modality for mapping microvascular networks and quantifying blood flow velocities in vivo. Simple computation and fast processing are critical for the OCTA in some applications. Herein, we report on a normalized differentiation method for mapping cerebral microvasculature with the advantages of simple analysis and high image quality, benefitting from computation of differentiation and characteristics of normalization. Normalized differentiation values are validated to have a nearly linear relationship with flow velocities in a range using a flow phantom. The measurements in a rat cerebral cortex show that the OCTA based on the normalized differentiation analysis can generate microvascular images with high quality and monitor spatiotemporal dynamics of blood flow with simple computation and fast processing before and after localized ischemia induced by arterial occlusion.
CONFLICT OF INTEREST
The authors declare no financial or commercial conflict of interest.
