Literature DB >> 22945542

Velocity measurement accuracy in optical microhemodynamics: experiment and simulation.

Boris Chayer1, Katie L Pitts, Guy Cloutier, Marianne Fenech.   

Abstract

Micro particle image velocimetry (µPIV) is a common method to assess flow behavior in blood microvessels in vitro as well as in vivo. The use of red blood cells (RBCs) as tracer particles, as generally considered in vivo, creates a large depth of correlation (DOC), even as large as the vessel itself, which decreases the accuracy of the method. The limitations of µPIV for blood flow measurements based on RBC tracking still have to be evaluated. In this study, in vitro and in silico models were used to understand the effect of the DOC on blood flow measurements using µPIV RBC tracer particles. We therefore employed a µPIV technique to assess blood flow in a 15 µm radius glass tube with a high-speed CMOS camera. The tube was perfused with a sample of 40% hematocrit blood. The flow measured by a cross-correlating speckle tracking technique was compared to the flow rate of the pump. In addition, a three-dimensional mechanical RBC-flow model was used to simulate optical moving speckle at 20% and 40% hematocrits, in 15 and 20 µm radius circular tubes, at different focus planes, flow rates and for various velocity profile shapes. The velocity profiles extracted from the simulated pictures were compared with good agreement with the corresponding velocity profiles implemented in the mechanical model. The flow rates from both the in vitro flow phantom and the mathematical model were accurately measured with less than 10% errors. Simulation results demonstrated that the hematocrit (paired t tests, p = 0.5) and the tube radius (p = 0.1) do not influence the precision of the measured flow rate, whereas the shape of the velocity profile (p < 0.001) and the location of the focus plane (p < 0.001) do, as indicated by measured errors ranging from 3% to 97%. In conclusion, the use of RBCs as tracer particles makes a large DOC and affects the image processing required to estimate the flow velocities. We found that the current µPIV method is acceptable to estimate the flow rate on the condition that the measurement takes place at the equatorial plane of the vessel. Otherwise, it is not an appropriate method to estimate the shape of the velocity profile.

Mesh:

Year:  2012        PMID: 22945542     DOI: 10.1088/0967-3334/33/10/1585

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  3 in total

1.  Micro-particle image velocimetry for velocity profile measurements of micro blood flows.

Authors:  Katie L Pitts; Marianne Fenech
Journal:  J Vis Exp       Date:  2013-04-25       Impact factor: 1.355

2.  Going beyond 20 μm-sized channels for studying red blood cell phase separation in microfluidic bifurcations.

Authors:  Sophie Roman; Adlan Merlo; Paul Duru; Frédéric Risso; Sylvie Lorthois
Journal:  Biomicrofluidics       Date:  2016-05-12       Impact factor: 2.800

Review 3.  Image-Based Experimental Measurement Techniques to Characterize Velocity Fields in Blood Microflows.

Authors:  Andy Vinh Le; Marianne Fenech
Journal:  Front Physiol       Date:  2022-04-29       Impact factor: 4.755

  3 in total

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