A “backward” calculation method for the estimation of central aortic pressure wave in a 1D arterial model network

Abstract The central aortic pressure waveform plays an important role in medicine. Several clinical outcomes can be determined using this information. However, direct measurement is difficult and risky, so that estimation methods are preferred. In the current paper a novel method is introduced which is a new basis for this estimation process. A one-dimensional arterial model is created using basic equations of fluid dynamics and a viscoelastic material model. In case of “forward” calculation the volumetric flow rate curve of the heart is set as a boundary condition. Pressure, velocity, wave propagation speed and deformation are calculated in the whole network. In case of “backward” calculation the pressure waveform is given at an arbitrary point of the network. With modification of the equations the calculation is turned backwards: knowing a pressure waveform at the downstream end of a vessel segment, the pressure waveform at the upstream end is calculated. The central aortic pressure waveform can be estimated within the 1D arterial model using this method. Details of the computation method and results of testing calculations are presented. The developed method is a powerful tool that might be used for central aortic pressure wave estimation in the future.

[1]  Karim Azer,et al.  A One-dimensional Model of Blood Flow in Arteries with Friction and Convection Based on the Womersley Velocity Profile , 2007, Cardiovascular engineering.

[2]  M Anliker,et al.  Dispersion and Attenuation of Small Artificial Pressure Waves in the Canine Aorta , 1968, Circulation Research.

[3]  Patrick Segers,et al.  The use of a generalized transfer function: different processing, different results! , 2007, Journal of hypertension.

[4]  E. C. Zachmanoglou,et al.  Introduction to partial differential equations with applications , 1976 .

[5]  A. Avolio,et al.  Multi-branched model of the human arterial system , 1980, Medical and Biological Engineering and Computing.

[6]  C. H. Chen,et al.  Estimation of central aortic pressure waveform by mathematical transformation of radial tonometry pressure. Validation of generalized transfer function. , 1997, Circulation.

[7]  S. Sherwin,et al.  Analysing the pattern of pulse waves in arterial networks: a time-domain study , 2009 .

[8]  B. Fetics,et al.  Estimation of Central Aortic Pressure Waveform by Mathematical Transformation of Radial Tonometry Pressure Data , 1998 .

[9]  Bryan Williams,et al.  Development and validation of a novel method to derive central aortic systolic pressure from the radial pressure waveform using an n-point moving average method. , 2011, Journal of the American College of Cardiology.

[10]  I. Meredith,et al.  ‘Generalizability’ of a radial-aortic transfer function for the derivation of central aortic waveform parameters , 2007, Journal of hypertension.

[11]  I. Meredith,et al.  Arterial transfer functions and the reconstruction of central aortic waveforms: myths, controversies and misconceptions. , 2008, Journal of hypertension.

[12]  Lucien Laiarinandrasana,et al.  Visco-hyperelastic model with internal state variable coupled with discontinuous damage concept under total Lagrangian formulation , 2003 .

[13]  M. Olufsen,et al.  Numerical Simulation and Experimental Validation of Blood Flow in Arteries with Structured-Tree Outflow Conditions , 2000, Annals of Biomedical Engineering.

[14]  L. Formaggia,et al.  Numerical modeling of 1D arterial networks coupled with a lumped parameters description of the heart , 2006, Computer methods in biomechanics and biomedical engineering.

[15]  A. Quarteroni,et al.  One-dimensional models for blood flow in arteries , 2003 .

[16]  Alfio Quarteroni,et al.  Cardiovascular mathematics : modeling and simulation of the circulatory system , 2009 .

[17]  M. O'Rourke,et al.  The second peak of the radial artery pressure wave represents aortic systolic pressure in hypertensive and elderly patients. , 2004, British journal of anaesthesia.

[18]  D. Kass,et al.  Parametric model derivation of transfer function for noninvasive estimation of aortic pressure by radial tonometry , 1999, IEEE Transactions on Biomedical Engineering.

[19]  Hao-Min Cheng,et al.  Central or peripheral systolic or pulse pressure: which best relates to target organs and future mortality? , 2009, Journal of hypertension.

[20]  S. Sherwin,et al.  Pulse wave propagation in a model human arterial network: Assessment of 1-D visco-elastic simulations against in vitro measurements , 2011, Journal of biomechanics.

[21]  M. Karamanoglu,et al.  An analysis of the relationship between central aortic and peripheral upper limb pressure waves in man. , 1993, European heart journal.

[22]  M. Zamir The Physics of Coronary Blood Flow , 2005 .

[23]  Bryan Williams,et al.  Central haemodynamics and clinical outcomes: going beyond brachial blood pressure? , 2010, European heart journal.

[24]  Riccardo Pini,et al.  Central but not brachial blood pressure predicts cardiovascular events in an unselected geriatric population: the ICARe Dicomano Study. , 2008, Journal of the American College of Cardiology.

[25]  W. Nichols McDonald's Blood Flow in Arteries , 1996 .

[26]  Jean-Frédéric Gerbeau,et al.  Parameter identification for a one-dimensional blood flow model , 2005 .

[27]  Kozo Hirata,et al.  Noninvasive pulse waveform analysis in clinical trials: similarity of two methods for calculating aortic systolic pressure. , 2007, American journal of hypertension.

[28]  K. Parker,et al.  Wave propagation in a model of the arterial circulation. , 2004, Journal of biomechanics.