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.
We investigated the correlation of the blood optical attenuation coefficient (OAC) and the blood glucose concentration (BGC). The blood OAC was measured in mouse retina in vivo through OCT angiography (OCTA). The arteries and veins presented a blood OAC change of ~0.05-0.07 mm-1 per 10 mg/dl and a significant elevation of blood OAC in diabetic mice was observed. Besides, the veins had a higher correlation coefficient between the measured blood OAC and BGC than that of the arteries. The blood OAC-BGC correlation suggests a concept of non-invasive OCTA-based glucometry, allowing a fast assessment of the blood glucose of specific vessels.
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