Adaptive µPIV for visualization of capillary network blood flow microcirculation using Niblack local binarization

Maxim A. Kurochkin; Elena S. Stiukhina; Ivan V. Fedosov; Valery V. Tuchin

doi:10.1117/12.2268708

24 March 2017 Adaptive μPIV for visualization of capillary network microcirculation using Niblack local binarization

Maxim A. Kurochkin, Elena S. Stiukhina, Ivan V. Fedosov, Valery V. Tuchin

Proceedings Volume 10336, Saratov Fall Meeting 2016: Optical Technologies in Biophysics and Medicine XVIII; 103360W (2017) https://doi.org/10.1117/12.2268708
Event: Saratov Fall Meeting 2016: Fourth International Symposium on Optics and Biophotonics, 2016, Saratov, Russian Federation

Abstract

We present adaptive micro-scale Particle Image Velocimetry (μPIV) technique for visualization of the capillary network blood flow microcirculation. The main idea of our method is a centering of the interrogation regions (IR) of the μPIV technique via capillary network masks. These masks were obtained by the algorithm of Niblack local binarization of the capillary network images for the each frame. Due to the inhomogeneous of red blood cells (RBCs) distribution, we have summarized the masks across a whole series of masks. The blood flow velocity map was measured within the limits of the resulting the mask. We illustrate step-by-step the blood flow velocity measurement method and we reconstruct velocity map for chorioallantoic membrane (CAM) of chicken embryo.

Citation Download Citation

Maxim A. Kurochkin, Elena S. Stiukhina, Ivan V. Fedosov, and Valery V. Tuchin "Adaptive μPIV for visualization of capillary network microcirculation using Niblack local binarization", Proc. SPIE 10336, Saratov Fall Meeting 2016: Optical Technologies in Biophysics and Medicine XVIII, 103360W (24 March 2017); https://doi.org/10.1117/12.2268708

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