Abstract
Bulk motions occurred during in vivo scanning could modulate the backscattered light signals with the same mechanism of moving scatterers (such as red blood cells), so bulk motion suppression plays a key role for optical coherence tomographic angiography (OCTA) applications. One classic method to overcome this issue is to compensate the bulk motions with image registration algorithms before calculating vascular signals, which is however computationally intensive and makes real-time screening (a key feature for clinical devices) challenging. In this work, we investigated the influence of the time interval (between consecutive B-scans) on the microvascular images calculated with the recently proposed differential standard deviation of log-scale intensity (DSDLI) algorithm. An optimized time interval was successfully found and in vivo experiments were implemented for performance verification. The results showed that bulk-motion-suppressed high-contrast microvascular images could be obtained without image registration during data processing.
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