Literature DB >> 18720227

Theoretical modeling in hemodynamics of microcirculation.

Jack Lee1, Nicolas P Smith.   

Abstract

Over the past decades, theoretical modeling has become an indispensable component of research into the hemodynamics of microcirculation. Numerous studies rely on modeling to provide quantitative insights into the interacting biophysical mechanisms that govern microcirculatory flow. The mechanical deformation of hematocytes has been addressed by continuum and molecular-informed computational models based on a growing body of experimental information. Theoretical analyses of single-vessel flow and blood rheology have led to a range of modeling approaches. Until recently, computational constraints limited direct simulations of multi-particle flows involving deformation and/or aggregation, but recent studies have begun to address this challenge. Network-level analyses have provided insights into the biophysical principles underlying the design of the microcirculation. This approach has been used to complement available experimental data and to derive empirical models of microvascular blood rheology. Continued increases in computational performance applied to current modeling techniques will enable larger scale simulations. In order to exploit this opportunity, integration of diverse theoretical approaches within a multi-scale framework is needed.

Entities:  

Mesh:

Year:  2008        PMID: 18720227     DOI: 10.1080/10739680802229589

Source DB:  PubMed          Journal:  Microcirculation        ISSN: 1073-9688            Impact factor:   2.628


  11 in total

Review 1.  Multiscale imaging and computational modeling of blood flow in the tumor vasculature.

Authors:  Eugene Kim; Spyros Stamatelos; Jana Cebulla; Zaver M Bhujwalla; Aleksander S Popel; Arvind P Pathak
Journal:  Ann Biomed Eng       Date:  2012-05-08       Impact factor: 3.934

2.  Estimation of blood flow rates in large microvascular networks.

Authors:  Brendan C Fry; Jack Lee; Nicolas P Smith; Timothy W Secomb
Journal:  Microcirculation       Date:  2012-08       Impact factor: 2.628

3.  euHeart: personalized and integrated cardiac care using patient-specific cardiovascular modelling.

Authors:  Nic Smith; Adelaide de Vecchi; Matthew McCormick; David Nordsletten; Oscar Camara; Alejandro F Frangi; Hervé Delingette; Maxime Sermesant; Jatin Relan; Nicholas Ayache; Martin W Krueger; Walther H W Schulze; Rod Hose; Israel Valverde; Philipp Beerbaum; Cristina Staicu; Maria Siebes; Jos Spaan; Peter Hunter; Juergen Weese; Helko Lehmann; Dominique Chapelle; Reza Rezavi
Journal:  Interface Focus       Date:  2011-04-01       Impact factor: 3.906

Review 4.  Myocardial perfusion distribution and coronary arterial pressure and flow signals: clinical relevance in relation to multiscale modeling, a review.

Authors:  Froukje Nolte; Eoin R Hyde; Cristina Rolandi; Jack Lee; Pepijn van Horssen; Kal Asrress; Jeroen P H M van den Wijngaard; Andrew N Cookson; Tim van de Hoef; Radomir Chabiniok; Reza Razavi; Christian Michler; Gilion L T F Hautvast; Jan J Piek; Marcel Breeuwer; Maria Siebes; Eike Nagel; Nic P Smith; Jos A E Spaan
Journal:  Med Biol Eng Comput       Date:  2013-07-27       Impact factor: 2.602

Review 5.  The role of theoretical modeling in microcirculation research.

Authors:  Timothy W Secomb; Daniel A Beard; Jefferson C Frisbee; Nicolas P Smith; Axel R Pries
Journal:  Microcirculation       Date:  2008-11       Impact factor: 2.628

6.  Modeling the hematocrit distribution in microcirculatory networks: A quantitative evaluation of a phase separation model.

Authors:  Peter M Rasmussen; Timothy W Secomb; Axel R Pries
Journal:  Microcirculation       Date:  2018-04       Impact factor: 2.628

Review 7.  Image-based modelling of skeletal muscle oxygenation.

Authors:  B Zeller-Plumhoff; T Roose; G F Clough; P Schneider
Journal:  J R Soc Interface       Date:  2017-02       Impact factor: 4.118

8.  A generalized mathematical framework for estimating the residue function for arbitrary vascular networks.

Authors:  Chang Sub Park; Stephen J Payne
Journal:  Interface Focus       Date:  2013-04-06       Impact factor: 3.906

9.  Spatial distributions of red blood cells significantly alter local haemodynamics.

Authors:  Joseph M Sherwood; David Holmes; Efstathios Kaliviotis; Stavroula Balabani
Journal:  PLoS One       Date:  2014-06-20       Impact factor: 3.240

Review 10.  The multi-scale modelling of coronary blood flow.

Authors:  Jack Lee; Nicolas P Smith
Journal:  Ann Biomed Eng       Date:  2012-05-08       Impact factor: 3.934

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