Abstract

We present a novel application of optical microangiography (OMAG) imaging technique for visualization of depth-resolved vascular network within retina and choroid as well as measurement of total retinal blood flow in mice. A fast speed spectral domain OCT imaging system at 820nm with a line scan rate of 140 kHz was developed to image the posterior segment of eyes in mice. By applying an OMAG algorithm to extract the moving blood flow signals out of the background tissue, we are able to provide true capillary level imaging of the retinal and choroidal vasculature. The microvascular patterns within different retinal layers are presented. An en face Doppler OCT approach [Srinivasan et al., Opt Express 18, 2477 (2010)] was adopted for retinal blood flow measurement. The flow is calculated by integrating the axial blood flow velocity over the vessel area measured in an en face plane without knowing the blood vessel angle. Total retinal blood flow can be measured from both retinal arteries and veins. The results indicate that OMAG has the potential for qualitative and quantitative evaluation of the microcirculation in posterior eye compartments in mouse models of retinopathy and neovascularization.

Highlights

  • Ocular blood flow plays an important role in the normal function of vision

  • The development of Fourier domain optical coherence tomography (FDOCT) which provides markedly increased imaging speed and sensitivity [4] has enabled in vivo imaging of blood flow

  • Functional imaging of blood flow using FDOCT can be divided into two categories: Doppler Optical coherence tomography (OCT) and OCT angiography

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Summary

Introduction

Ocular blood flow plays an important role in the normal function of vision. Abnormal ocular blood flow has been shown to be related to many ocular diseases, such as age-related macular degeneration, diabetic retinopathy, and glaucoma. In order to visualize the microcirculation network, a number of strategies to enable better contrast of microvasculature components, which we termed OCT angiography, have been introduced during recent years. These OCT angiography methods generate contrast for blood flow based on either the phase [7,8,9,10,11,12,13] or intensity [14,15,16] or complex information [17,18,19,20] of FDOCT signals

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