Literature DB >> 18980854

Modeling perfusion in the cerebral vasculature.

T David1, S Moore.   

Abstract

The constant perfusion of a human organ with nutrients and oxygen demands a robust regulatory mechanisms in the face of normal day-to-day pressure variations in the vasculature. The brain, in a similar manner to the heart requires this mechanism to be extremely quick acting, relative to other ways of altering perfusion such as varying systemic blood pressure, since oxygen depravation in the tissues of the brain can be tolerated for only of the order of tens of seconds before significant damage can be done. In recent years computational models, and it must be noted computer architecture have evolved to an extent where mathematicians and engineers can play a large part in discovering how the brain functions physiologically as well as investigating pathological conditions. This review will look at a number of increasingly complex computational models of blood flow to the brain and how variations in arterial geometry can influence the perfusion in the cerebral vasculature. Although these models have provided an insight into complex mechanisms the research area is densely populated with important questions that perhaps only computer models can answer. The review will indicate possible areas of investigation.

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Year:  2008        PMID: 18980854     DOI: 10.1016/j.medengphy.2008.09.008

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  7 in total

1.  Reproduction of consistent pulse-waveform changes using a computational model of the cerebral circulatory system.

Authors:  Mark Connolly; Xing He; Nestor Gonzalez; Paul Vespa; Joe DiStefano; Xiao Hu
Journal:  Med Eng Phys       Date:  2014-01-03       Impact factor: 2.242

2.  A Coupled Lumped-Parameter and Distributed Network Model for Cerebral Pulse-Wave Hemodynamics.

Authors:  Jaiyoung Ryu; Xiao Hu; Shawn C Shadden
Journal:  J Biomech Eng       Date:  2015-10       Impact factor: 2.097

Review 3.  Mechanics of the brain: perspectives, challenges, and opportunities.

Authors:  Alain Goriely; Marc G D Geers; Gerhard A Holzapfel; Jayaratnam Jayamohan; Antoine Jérusalem; Sivabal Sivaloganathan; Waney Squier; Johannes A W van Dommelen; Sarah Waters; Ellen Kuhl
Journal:  Biomech Model Mechanobiol       Date:  2015-02-26

4.  Patient-specific computational modeling of upper extremity arteriovenous fistula creation: its feasibility to support clinical decision-making.

Authors:  Aron S Bode; Wouter Huberts; E Marielle H Bosboom; Wilco Kroon; Wim P M van der Linden; R Nils Planken; Frans N van de Vosse; Jan H M Tordoir
Journal:  PLoS One       Date:  2012-04-04       Impact factor: 3.240

5.  The role of biofluid mechanics in the assessment of clinical and pathological observations: sixth International Bio-Fluid Mechanics Symposium and Workshop, March 28-30, 2008 Pasadena, California.

Authors:  Maria Siebes; Yiannis Ventikos
Journal:  Ann Biomed Eng       Date:  2010-01-20       Impact factor: 3.934

6.  Numerical Simulation of the blood flow behavior in the circle of  Willis.

Authors:  Seyyed Esmail Razavi; Rana Sahebjam
Journal:  Bioimpacts       Date:  2014-06-30

7.  Mathematical Modelling of a Brain Tumour Initiation and Early Development: A Coupled Model of Glioblastoma Growth, Pre-Existing Vessel Co-Option, Angiogenesis and Blood Perfusion.

Authors:  Yan Cai; Jie Wu; Zhiyong Li; Quan Long
Journal:  PLoS One       Date:  2016-03-02       Impact factor: 3.240

  7 in total

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