Literature DB >> 23225751

Comparison of patient-specific inlet boundary conditions in the numerical modelling of blood flow in abdominal aortic aneurysm disease.

David Hardman1, Scott I Semple, Jennifer M J Richards, Peter R Hoskins.   

Abstract

Three inlet boundary condition datasets were derived from phase-contrast MRI: (i) centre line velocity data converted to two-dimensional (2D) velocity profile using Womersley equations (Womersley), (ii) 2D velocity profile with one axial component of velocity (1CV), (iii) 2D velocity profile with three components of velocity (3CV). Computational fluid dynamics was performed using a rigid wall approach with geometry data extracted from the computed tomography dataset. Helical flow was present in the 1CV and 3CV simulations, with more complex patterns for the 3CV case. The Womersley method produced simplified flow patterns with an absence of helical flow. Mean values of quantitative indices (helical flow index, mean wall shear stress, oscillatory index) were compared with the 3CV inlet data. These were lower for both the Womersley inlet data (28%, 71%, 56%) and the 1CV inlet data (9%, 24%, 69%). It was concluded that inlet methods based on centre line velocity, such as might be obtained from Doppler ultrasound, lead to significantly simplified abdominal aortic aneurysm haemodynamics and thus are not recommended. Single velocity component (axial) data from MRI might suffice when general flow characteristics and spatial wall shear stress are required. Ideally 2D MRI velocity profiles with 3-velocity component data are preferred to fully account for helical flow.
Copyright © 2012 John Wiley & Sons, Ltd.

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Mesh:

Year:  2012        PMID: 23225751     DOI: 10.1002/cnm.2535

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  10 in total

1.  Analysis of Inlet Velocity Profiles in Numerical Assessment of Fontan Hemodynamics.

Authors:  Zhenglun Alan Wei; Connor Huddleston; Phillip M Trusty; Shelly Singh-Gryzbon; Mark A Fogel; Alessandro Veneziani; Ajit P Yoganathan
Journal:  Ann Biomed Eng       Date:  2019-06-24       Impact factor: 3.934

2.  Suitability of lattice Boltzmann inlet and outlet boundary conditions for simulating flow in image-derived vasculature.

Authors:  Bradley Feiger; Madhurima Vardhan; John Gounley; Matthew Mortensen; Priya Nair; Rafeed Chaudhury; David Frakes; Amanda Randles
Journal:  Int J Numer Method Biomed Eng       Date:  2019-04-01       Impact factor: 2.747

3.  Effect of exercise on patient specific abdominal aortic aneurysm flow topology and mixing.

Authors:  Amirhossein Arzani; Andrea S Les; Ronald L Dalman; Shawn C Shadden
Journal:  Int J Numer Method Biomed Eng       Date:  2013-10-28       Impact factor: 2.747

4.  Effects of framing coil shape, orientation, and thickness on intra-aneurysmal flow.

Authors:  Woowon Jeong; Moon Hee Han; Kyehan Rhee
Journal:  Med Biol Eng Comput       Date:  2013-04-08       Impact factor: 2.602

5.  A longitudinal comparison of hemodynamics and intraluminal thrombus deposition in abdominal aortic aneurysms.

Authors:  Amirhossein Arzani; Ga-Young Suh; Ronald L Dalman; Shawn C Shadden
Journal:  Am J Physiol Heart Circ Physiol       Date:  2014-10-17       Impact factor: 4.733

6.  Patient specific modeling of palpation-based prostate cancer diagnosis: effects of pelvic cavity anatomy and intrabladder pressure.

Authors:  Javier Palacio-Torralba; Elizabeth Jiménez Aguilar; Daniel W Good; Steven Hammer; S Alan McNeill; Grant D Stewart; Robert L Reuben; Yuhang Chen
Journal:  Int J Numer Method Biomed Eng       Date:  2015-08-19       Impact factor: 2.747

Review 7.  Patient-Specific Cardiovascular Computational Modeling: Diversity of Personalization and Challenges.

Authors:  Richard A Gray; Pras Pathmanathan
Journal:  J Cardiovasc Transl Res       Date:  2018-03-06       Impact factor: 4.132

8.  Optimal B-spline Mapping of Flow Imaging Data for Imposing Patient-specific Velocity Profiles in Computational Hemodynamics.

Authors:  Alberto Gomez; Marija Marcan; Christopher Arthurs; Robert Wright; Pouya Youssefi; Marjan Jahangiri; Alberto Figueroa
Journal:  IEEE Trans Biomed Eng       Date:  2018-12-11       Impact factor: 4.538

9.  Computational study of aortic hemodynamics for patients with an abnormal aortic valve: The importance of secondary flow at the ascending aorta inlet.

Authors:  S Pirola; O A Jarral; D P O'Regan; G Asimakopoulos; J R Anderson; J R Pepper; T Athanasiou; X Y Xu
Journal:  APL Bioeng       Date:  2018-03-16

Review 10.  A Review of Computational Methods to Predict the Risk of Rupture of Abdominal Aortic Aneurysms.

Authors:  Tejas Canchi; S D Kumar; E Y K Ng; Sriram Narayanan
Journal:  Biomed Res Int       Date:  2015-10-05       Impact factor: 3.411

  10 in total

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