Literature DB >> 12507313

Computerised visualisation from images of blood flow through frog mesenteric microvessels with multiple complexities.

M Manjunatha1, M Singh.   

Abstract

Blood flow through a frog mesenteric microvessel, consisting of one loop and two successive bends, was recorded by a video-microscopic system and analysed by a PC-based image processing system. After preprocessing, these images were analysed by the image velocimetry, axial tomography and image processing procedures. The blood flow in the microvessel had a Reynolds number of 0.033, and the Dean number varied from 0.004 in the loop to 0.007 in the bend, showing an increase in secondary flow in the bend region. These changes led to outward shifts in the peaks of velocity and concentration profiles, with an increase in the thickness of the outer walls (of about three times) compared with that of the inner walls. The mean velocity and mean cellular concentration showed a similar pattern. The variation in the cellular concentration in the microvessel was visualised by concentration contours and grey-scale images of the cellular distribution. At the inner wall of the complex geometry, the velocity reduced to zero, whereas the cellular concentration varied from 2 to 5%. In the high shear stress regions in the complex geometry, the vessel wall thickness was two-three times more than that in low shear stress regions.

Mesh:

Year:  2002        PMID: 12507313     DOI: 10.1007/bf02345301

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  25 in total

1.  Red blood cell behavior at low flow rate in microvessels.

Authors:  D Lominadze; G Mchedlishvili
Journal:  Microvasc Res       Date:  1999-09       Impact factor: 3.514

Review 2.  The lipid hypothesis and the role of hemodynamics in atherogenesis.

Authors:  W E Stehbens
Journal:  Prog Cardiovasc Dis       Date:  1990 Sep-Oct       Impact factor: 8.194

3.  Influence of vessel diameter on red cell distribution at microvascular bifurcations.

Authors:  R T Carr; L L Wickham
Journal:  Microvasc Res       Date:  1991-03       Impact factor: 3.514

4.  Numerical simulation of blood flow in an artery with two successive bends.

Authors:  H W Hoogstraten; J G Kootstra; B Hillen; J K Krijger; P J Wensing
Journal:  J Biomech       Date:  1996-08       Impact factor: 2.712

5.  In vivo and in vitro measurements of red cell velocity under epifluorescence microscopy.

Authors:  J Seki; H H Lipowsky
Journal:  Microvasc Res       Date:  1989-07       Impact factor: 3.514

6.  Flow in tubes and arteries--a comparison.

Authors:  D W Liepsch
Journal:  Biorheology       Date:  1986       Impact factor: 1.875

7.  Digital video image-shearing device for continuous microvessel diameter measurement.

Authors:  A R Pries; P Gaehtgens
Journal:  Microvasc Res       Date:  1987-09       Impact factor: 3.514

8.  Velocity profiles of blood flow in microvessels measured by ten channels' dual-sensor method.

Authors:  M Sato; N Ohshima
Journal:  Biorheology       Date:  1988       Impact factor: 1.875

9.  A simulation method for the study of laser transillumination of biological tissues.

Authors:  J M Maarek; G Jarry; B de Cosnac; A Lansiart
Journal:  Ann Biomed Eng       Date:  1984       Impact factor: 3.934

Review 10.  Vascular fluid mechanics, the arterial wall, and atherosclerosis.

Authors:  R M Nerem
Journal:  J Biomech Eng       Date:  1992-08       Impact factor: 2.097

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