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Review
. 2011 Sep;33(7):800-4.
doi: 10.1016/j.medengphy.2010.09.016. Epub 2010 Oct 29.

Mechanics and computational simulation of blood flow in microvessels

Affiliations
Review

Mechanics and computational simulation of blood flow in microvessels

Timothy W Secomb. Med Eng Phys. 2011 Sep.

Abstract

Blood is a concentrated suspension of red blood cells (RBCs). Motion and deformation of RBCs can be analyzed based on knowledge of their mechanical characteristics. Axisymmetric models for single-file motion of RBCs in capillaries yield predictions of apparent viscosity in good agreement with experimental results for diameters up to about 8 μm. Two-dimensional simulations, in which each RBC is represented as a set of interconnected viscoelastic elements, predict that off-centre RBCs in an 8-μm channel take asymmetric shapes and drift toward the centre-line. Predicted trajectories agree with observations in microvessels of the rat mesentery. An isolated RBC initially positioned near the wall of a 20-μm channel is deformed into an asymmetric shape, migrates away from the wall, and then enters a complex tumbling motion with continuous shape change. Realistic simulation of multiple interacting RBCs in microvessels remains as a major challenge.

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Figures

Fig. 1
Fig. 1
A. Human RBCs flowing in a glass tube with diameter 7 μm. B. Blood flow through a capillary in the rat mesentery with diameter approximately 7 μm. Flow is from left to right in each case.
Fig. 2
Fig. 2
Fåhraeus-Lindqvist effect in glass tubes. Solid curve: empirical fit to experimental data [2]. Dots: theoretical predictions [16]. Dashed curve: axial-train model (see text for explanation).
Fig. 3
Fig. 3
Variables describing geometry and stress resultants in an axisymmetric shell.
Fig. 4
Fig. 4
A. Two-dimensional model for RBC. Rectangles represent viscoelastic elements. B, C. Relationship between internal viscous elements and membrane deformation in tank-treading. Bands of membrane (a,b) alternately shorten and elongate during tank-treading.
Fig. 5
Fig. 5
Predicted motion and deformation of cells in an 8-μm channel. Flow rate is adjusted so that cell velocity is approximately 1.25 mm/s. Initial cell shape is a circle with radius 2.66 μm. Results are presented for cells with initial displacements 0, 0.5, 1 μm from the centre-line. A. Predicted cell shapes initially and after 50 and 100 ms. Dot on cell outline represents a node fixed in the cell. B. Observed human RBC shapes in a single glass capillary with diameter 7 μm. Three cells are shown with varying orientations and degrees of asymmetry.From Secomb et al. [19].
Fig. 6
Fig. 6
Observations and simulations of RBC motion in rat mesenteric microvessels. A. Microvessels selected for observation. Arrow: RBC whose motion was tracked. B. Superimposed digitized outlines of vessel wall and of selected isolated cells in successive video frames at 10-ms intervals. Arrows show flow directions. C. Predicted cell shapes at 20-ms intervals. From Secomb et al. [19].
Fig. 7
Fig. 7
Predicted RBC shapes and positions during lateral migration in a 20-μm channel, with flow driven by an imposed pressure gradient of −2000 dyn/cm3. Shear rate at the wall in the absence of particle is 200 s−1and centre -line velocity is 1 mm/s. Initial cell shape is a circle with radius 2.66 μm and centre 2.8 μm from the wall. Shapes are shown at 50 -ms intervals. Times since initiation of motion are indicated in ms.
Fig. 8
Fig. 8
Time-dependent lateral migration of a RBC in a 20-μm channel, with flow driven by an imposed pressure gradient of −2000 dyn/cm3. Distance of membrane centre of mass from wall is plotted. Symbols on curve correspond to 50-ms intervals at which cell shape is shown in Figure 7.

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