Adaptive μpIV for visualization of capillary network microcirculation using Niblack local binarization

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationSaratov Fall Meeting 2016
Subtitle of host publicationOptical Technologies in Biophysics and Medicine XVIII
EditorsValery V. Tuchin, Elina A. Genina, Valery V. Tuchin, Elina A. Genina
PublisherSPIE
ISBN (Electronic)9781510611177
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event4th International Symposium on Optics and Biophotonics, SFM 2016 - Saratov, Russian Federation
Duration: 27 Sep 201630 Sep 2016

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10336
ISSN (Print)1605-7422

Conference

Conference4th International Symposium on Optics and Biophotonics, SFM 2016
Country/TerritoryRussian Federation
CitySaratov
Period27/09/1630/09/16

Keywords

  • Blood flow velocity
  • Bright-field microscopy
  • Chorioallantoic membrane
  • Digital image processing
  • Niblack local binarization
  • μPIV

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