Literature DB >> 12220075

In vivo validation of numerical prediction of blood flow in arterial bypass grafts.

Joy P Ku1, Mary T Draney, Frank R Arko, W Anthony Lee, Frandics P Chan, Norbert J Pelc, Christopher K Zarins, Charles A Taylor.   

Abstract

In planning operations for patients with cardiovascular disease, vascular surgeons rely on their training, past experiences with patients with similar conditions, and diagnostic imaging data. However, variability in patient anatomy and physiology makes it difficult to quantitatively predict the surgical outcome for a specific patient a priori. We have developed a simulation-based medical planning system that utilizes three-dimensional finite-element analysis methods and patient-specific anatomic and physiologic information to predict changes in blood flow resulting from surgical bypass procedures. In order to apply these computational methods, they must be validated against direct experimental measurements. In this study, we compared in vivo flow measurements obtained using magnetic resonance imaging techniques to calculated flow values predicted using our analysis methods in thoraco-thoraco aortic bypass procedures in eight pigs. Predicted average flow rates and flow rate waveforms were compared for two locations. The predicted and measured waveforms had similar shapes and amplitudes, while flow distribution predictions were within 10.6% of the experimental data. The average absolute difference in the bypass-to-inlet blood flow ratio was 5.4 +/- 2.8%. For the aorta-to-inlet blood flow ratio, the average absolute difference was 6.0 +/- 3.3%.

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Year:  2002        PMID: 12220075     DOI: 10.1114/1.1496086

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  9 in total

Review 1.  Patient-specific modeling of cardiovascular mechanics.

Authors:  C A Taylor; C A Figueroa
Journal:  Annu Rev Biomed Eng       Date:  2009       Impact factor: 9.590

2.  Numerical flow simulation in the post-endoscopic sinus surgery nasal cavity.

Authors:  Guanxia Xiong; Jiemin Zhan; Kejun Zuo; Jianfeng Li; Liangwan Rong; Geng Xu
Journal:  Med Biol Eng Comput       Date:  2008-08-26       Impact factor: 2.602

3.  In vivo validation of numerical prediction for turbulence intensity in an aortic coarctation.

Authors:  Amirhossein Arzani; Petter Dyverfeldt; Tino Ebbers; Shawn C Shadden
Journal:  Ann Biomed Eng       Date:  2011-10-21       Impact factor: 3.934

4.  Image-based modeling of hemodynamics in coronary artery aneurysms caused by Kawasaki disease.

Authors:  Dibyendu Sengupta; Andrew M Kahn; Jane C Burns; Sethuraman Sankaran; Shawn C Shadden; Alison L Marsden
Journal:  Biomech Model Mechanobiol       Date:  2011-11-27

5.  Simulation based planning of surgical interventions in pediatric cardiology.

Authors:  Alison L Marsden
Journal:  Phys Fluids (1994)       Date:  2013-10-23       Impact factor: 3.521

6.  Recent advances in the application of computational mechanics to the diagnosis and treatment of cardiovascular disease.

Authors:  Juan C Del Alamo; Alison L Marsden; Juan C Lasheras
Journal:  Rev Esp Cardiol       Date:  2009-07       Impact factor: 4.753

7.  In vivo wall shear measurements within the developing zebrafish heart.

Authors:  R Aidan Jamison; Chaminda R Samarage; Robert J Bryson-Richardson; Andreas Fouras
Journal:  PLoS One       Date:  2013-10-04       Impact factor: 3.240

8.  Use of the FDA nozzle model to illustrate validation techniques in computational fluid dynamics (CFD) simulations.

Authors:  Prasanna Hariharan; Gavin A D'Souza; Marc Horner; Tina M Morrison; Richard A Malinauskas; Matthew R Myers
Journal:  PLoS One       Date:  2017-06-08       Impact factor: 3.240

9.  Simulations of time harmonic blood flow in the Mesenteric artery: comparing finite element and lattice Boltzmann methods.

Authors:  Lilit Axner; Alfons G Hoekstra; Adam Jeays; Pat Lawford; Rod Hose; Peter M A Sloot
Journal:  Biomed Eng Online       Date:  2009-10-02       Impact factor: 2.819

  9 in total

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