In Depth Flow Inspection Using Dynamic Laser Speckle Temporal Statistics
Golberg, M.; Califa, R.; Polani, S.; Garcia, J.; Zalevsky, Z.
Show abstract
We present novel optical approach based on statistical analysis of temporal laser speckle patterns for tissue in-depth flow characteristics. An ability to distinguish between Brownian motion of particles and laminar flow is well proved. The main steps in the post processing algorithm and the in-vivo and in-vitro experimental results are presented and demonstrated.
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