Blood flow analysis in mesenteric microvascular network by image velocimetry and axial tomography

Manjunatha, M.; Singh, Shweta; Singh, Megha

doi:10.1016/s0026-2862(02)00028-6

Cited by 8 publications

(4 citation statements)

References 16 publications

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“…Minamitani et al applied a spatiotemporal derivative technique or a cross-correlation technique in order to assess two-dimensional velocity profiles of RBCs flowing in rat mesenteric microvessels, based on the high-speed 1 000 frames/sec videomicroscopic images (22), (34) . Manjunatha et al showed a velocity profile of blood flow in multiple microvessel branchings of frog mesentery using the modified optical flow image velocimetry algorithm on videomicroscopic images of PAL video system (25 frames/sec) (35), (36) . However, most of these studies still remain unsatisfactory in the spatialresolution, velocity-accuracy and unsteady flow.…”

Section: Discussionmentioning

confidence: 99%

Velocity Profiles of Pulsatile Blood Flow in Arterioles with Bifurcation and Confluence in Rat Mesnetery Measured by Particle Image Velocimetry

Nakano¹,

Sugii

Minamiyama

et al. 2005

JSME Int. J., Ser. C

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Blood flow velocity profile in microvessels is essential for in vivo studies of substance exchange between blood and tissue. This paper was aimed to investigate the temporal and spatial variations in the velocity profile of red blood cell (RBC) flow in arterioles with both bifurcation and confluence in the rat mesentery, using a particle image velocimetry (PIV). The microcirculation in rat mesentery was observed under a microscopic system with a high-speed digital camera. The images of RBCs flow in microvessels were recorded simultaneously with the arterial blood pressure. Based on the high-speed video images, instantaneous velocity vectors of RBCs in arterioles with bifurcation and confluence were evaluated using a high spatial-resolution PIV algorithm. Then, the time-averaged and ensemble-averaged velocity profiles over the cross-section were calculated from the proximal through the bifurcation to the distal to the confluence. The velocity profile of RBCs showed two peaks at bifurcation and confluence, respectively. The double peaks were most marked at the apex of bifurcation, but not so much marked at the confluence. The variation of centerline velocity showed that the length of vessel under the influence of bifurcation or confluence, was approximately 1.5 times the diameter at the proximal to the apex of bifurcation, but its length was reduced significantly at the distal of confluence.

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Section: Discussionmentioning

confidence: 99%

Velocity Profiles of Pulsatile Blood Flow in Arterioles with Bifurcation and Confluence in Rat Mesnetery Measured by Particle Image Velocimetry

Nakano¹,

Sugii

Minamiyama

et al. 2005

JSME Int. J., Ser. C

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“…Alone, the aforementioned shear-induced diffusion cannot lead to spatial nonuniformity. However, many aspects of blood flow are spatially nonuniform; velocity and shear rate (24)(25)(26)(27), shear stress and viscosity (28), and concentration and aggregation of erythrocytes (20,27,(29)(30)(31)(32) are considerably nonuniform across the flow. The first hypothesis that aimed to explain the origin of nonuniform platelet distribution across blood flow was the available-volume model (33).…”

Section: Introductionmentioning

confidence: 99%

Finite Platelet Size Could Be Responsible for Platelet Margination Effect

Tokarev

Butylin

Ермакова

et al. 2011

Biophysical Journal

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Blood flows through vessels as a segregated suspension. Erythrocytes distribute closer to the vessel axis, whereas platelets accumulate near vessel walls. Directed platelet migration to the vessel walls promotes their hemostatic function. The mechanisms underlying this migration remain poorly understood, although various hypotheses have been proposed to explain this phenomenon (e.g., the available volume model and the drift-flux model). To study this issue, we constructed a mathematical model that predicts the platelet distribution profile across the flow in the presence of erythrocytes. This model considers platelet and erythrocyte dimensions and assumes an even platelet distribution between erythrocytes. The model predictions agree with available experimental data for near-wall layer margination using platelets and platelet-modeling particles and the lateral migration rate for these particles. Our analysis shows that the strong expulsion of the platelets from the core to the periphery of the blood vessel may mainly arise from the finite size of the platelets, which impedes their positioning in between the densely packed erythrocytes in the core. This result provides what we believe is a new insight into the rheological control of platelet hemostasis by erythrocytes.

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“…The real distribution of erythrocytes across the flow is far from stepwise; in contrast, their concentration grows monotonically from the vessel wall to the axis as shown both in vitro [13,19] and in vivo [11][12][13][14][15]. The direct assignment of this distribution by an analytical formula leads to the models with spatially distributed coefficients of the rheological equation.…”

Section: The Prescribed Distribution Of Erythrocytesmentioning

confidence: 99%

Segregation of Flowing Blood: Mathematical Description

Tokarev

Panasenko

Ataullakhanov

2011

Math. Model. Nat. Phenom.

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Abstract. Blood rheology is completely determined by its major corpuscles which are erythrocytes, or red blood cells (RBCs). That is why understanding and correct mathematical description of RBCs behavior in blood is a critical step in modelling the blood dynamics. Various phenomena provided by RBCs such as aggregation, deformation, shear-induced diffusion and non-uniform radial distribution affect the passage of blood through the vessels. Hence, they have to be taken into account while modelling the blood dynamics. Other important blood corpuscles are platelets, which are crucial for blood clotting. RBCs strongly affect the platelet transport in blood expelling them to the vessel walls and increasing their dispersion, which has to be considered in models of clotting. In this article we give a brief review of basic modern approaches in mathematical description of these phenomena, discuss their applicability to real flow conditions and propose further pathways for developing the theory of blood flow.

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Blood flow analysis in mesenteric microvascular network by image velocimetry and axial tomography

Cited by 8 publications

References 16 publications

Velocity Profiles of Pulsatile Blood Flow in Arterioles with Bifurcation and Confluence in Rat Mesnetery Measured by Particle Image Velocimetry

Velocity Profiles of Pulsatile Blood Flow in Arterioles with Bifurcation and Confluence in Rat Mesnetery Measured by Particle Image Velocimetry

Finite Platelet Size Could Be Responsible for Platelet Margination Effect

Segregation of Flowing Blood: Mathematical Description

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