Share Email Print
cover

Proceedings Paper

Adaptive µPIV for visualization of capillary network blood flow microcirculation using Niblack local binarization
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 24 March 2017
PDF: 10 pages
Proc. SPIE 10336, Saratov Fall Meeting 2016: Optical Technologies in Biophysics and Medicine XVIII, 103360W (24 March 2017); doi: 10.1117/12.2268708
Show Author Affiliations
Maxim A. Kurochkin, Saratov National Research State Univ. (Russian Federation)
Elena S. Stiukhina, Saratov National Research State Univ. (Russian Federation)
Ivan V. Fedosov, Saratov National Research State Univ. (Russian Federation)
Valery V. Tuchin, Saratov National Research State Univ. (Russian Federation)
Institute of Precision Mechanics and Control (Russian Federation)
National Research Tomsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10336:
Saratov Fall Meeting 2016: Optical Technologies in Biophysics and Medicine XVIII
Valery V. Tuchin; Elina A. Genina; Dmitry E. Postnov; Vladimir L. Derbov, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray