Literature DB >> 16532762

Resolving the hemodynamic inverse problem.

Christopher M Quick1, David S Berger, Randolph H Stewart, Glen A Laine, Craig J Hartley, Abraham Noordergraaf.   

Abstract

The "hemodynamic inverse problem" is the determination of arterial system properties from pressures and flows measured at the entrance of an arterial system. Conventionally, investigators fit reduced arterial system models to data, and the resulting model parameters represent putative arterial properties. However, no unique solution to the inverse problem exists-an infinite number of arterial system topologies result in the same input impedance (Zin) and, therefore, the same pressure and flow. Nevertheless, there are exceptions to this theoretical limitation; total peripheral resistance (Rtot), total arterial compliance (Ctot), and characteristic impedance (ZO) can be uniquely determined from input pressure and flow. Zin is determined completely by Ctot and Rtot at low frequencies, Zo at high frequencies, and arterial topology and reflection effects at intermediate frequencies. We present a novel method to determine the relative contribution of Zo, Ctot, Rtot and arterial topology/reflection to Zin without assuming a particular reduced model. This method is tested with a large-scale distributed model of the arterial system, and is applied to illustrative cases of measured pressure and flow. This work, thus, lays the theoretical foundation for determining the arterial properties responsible for increased pulse pressure with age and various arterial system pathologies.

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Year:  2006        PMID: 16532762     DOI: 10.1109/TBME.2005.869664

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  6 in total

1.  Estimation of hidden state variables of the intracranial system using constrained nonlinear Kalman filters.

Authors:  Xiao Hu; Valeriy Nenov; Paul Vespa; Marvin Bergsneider
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2005

Review 2.  Input impedance of distributed arterial structures as used in investigations of underlying concepts in arterial haemodynamics.

Authors:  Alberto Avolio
Journal:  Med Biol Eng Comput       Date:  2008-10-24       Impact factor: 2.602

3.  Increasing pulse wave velocity in a realistic cardiovascular model does not increase pulse pressure with age.

Authors:  Mohammad W Mohiuddin; Ryan J Rihani; Glen A Laine; Christopher M Quick
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-05-04       Impact factor: 4.733

Review 4.  Review of zero-D and 1-D models of blood flow in the cardiovascular system.

Authors:  Yubing Shi; Patricia Lawford; Rodney Hose
Journal:  Biomed Eng Online       Date:  2011-04-26       Impact factor: 2.819

5.  Reducing the number of parameters in 1D arterial blood flow modeling: less is more for patient-specific simulations.

Authors:  Sally Epstein; Marie Willemet; Phil J Chowienczyk; Jordi Alastruey
Journal:  Am J Physiol Heart Circ Physiol       Date:  2015-04-17       Impact factor: 4.733

6.  From inverse problems in mathematical physiology to quantitative differential diagnoses.

Authors:  Sven Zenker; Jonathan Rubin; Gilles Clermont
Journal:  PLoS Comput Biol       Date:  2007-09-06       Impact factor: 4.475

  6 in total

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