Numerical Simulation of Blood Flow Dynamics using FEM

Author(s):  
LEANDRO MARQUES
2011 ◽  
Vol 300 (2) ◽  
pp. F319-F329 ◽  
Author(s):  
Niels-Henrik Holstein-Rathlou ◽  
Olga V. Sosnovtseva ◽  
Alexey N. Pavlov ◽  
William A. Cupples ◽  
Charlotte Mehlin Sorensen ◽  
...  

Tubuloglomerular feedback (TGF) has an important role in autoregulation of renal blood flow and glomerular filtration rate (GFR). Because of the characteristics of signal transmission in the feedback loop, the TGF undergoes self-sustained oscillations in single-nephron blood flow, GFR, and tubular pressure and flow. Nephrons interact by exchanging electrical signals conducted electrotonically through cells of the vascular wall, leading to synchronization of the TGF-mediated oscillations. Experimental studies of these interactions have been limited to observations on two or at most three nephrons simultaneously. The interacting nephron fields are likely to be more extensive. We have turned to laser speckle contrast imaging to measure the blood flow dynamics of 50–100 nephrons simultaneously on the renal surface of anesthetized rats. We report the application of this method and describe analytic techniques for extracting the desired data and for examining them for evidence of nephron synchronization. Synchronized TGF oscillations were detected in pairs or triplets of nephrons. The amplitude and the frequency of the oscillations changed with time, as did the patterns of synchronization. Synchronization may take place among nephrons not immediately adjacent on the surface of the kidney.


2006 ◽  
Vol 38 (10) ◽  
pp. 1811-1818 ◽  
Author(s):  
MICHAEL E. TSCHAKOVSKY ◽  
NATASHA R. SAUNDERS ◽  
KATHERINE A. WEBB ◽  
DENIS E. O'DONNELL

1990 ◽  
Vol 8 (2) ◽  
pp. 167-172 ◽  
Author(s):  
Q. Guo ◽  
L. Friloux ◽  
O. Nalcioglu

The Analyst ◽  
2015 ◽  
Vol 140 (5) ◽  
pp. 1432-1437 ◽  
Author(s):  
Shantimoy Kar ◽  
Monika Dash ◽  
Tapas Kumar Maiti ◽  
Suman Chakraborty

We investigate blood flow dynamics on a rotationally actuated lab-on-a-compact disk (LOCD) platform, as a function of the hematocrit level of the blood sample.


1989 ◽  
Vol 246 (3) ◽  
pp. 147-150 ◽  
Author(s):  
M. Kawakami ◽  
K. Makimoto ◽  
T. Nakajima ◽  
H. Takahashi

2018 ◽  
Vol 373 (1759) ◽  
pp. 20170330 ◽  
Author(s):  
Katherine Courchaine ◽  
Sandra Rugonyi

Blood flow conditions (haemodynamics) are crucial for proper cardiovascular development. Indeed, blood flow induces biomechanical adaptations and mechanotransduction signalling that influence cardiovascular growth and development during embryonic stages and beyond. Altered blood flow conditions are a hallmark of congenital heart disease, and disrupted blood flow at early embryonic stages is known to lead to congenital heart malformations. In spite of this, many of the mechanisms by which blood flow mechanics affect cardiovascular development remain unknown. This is due in part to the challenges involved in quantifying blood flow dynamics and the forces exerted by blood flow on developing cardiovascular tissues. Recent technologies, however, have allowed precise measurement of blood flow parameters and cardiovascular geometry even at early embryonic stages. Combined with computational fluid dynamics techniques, it is possible to quantify haemodynamic parameters and their changes over development, which is a crucial step in the quest for understanding the role of mechanical cues on heart and vascular formation. This study summarizes some fundamental aspects of modelling blood flow dynamics, with a focus on three-dimensional modelling techniques, and discusses relevant studies that are revealing the details of blood flow and their influence on cardiovascular development. This article is part of the Theo Murphy meeting issue ‘Mechanics of development’.


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