Literature DB >> 8189705

Pulsatile velocity measurements in a model of the human abdominal aorta under simulated exercise and postprandial conditions.

J E Moore1, D N Ku.   

Abstract

This study examines the hemodynamics of the abdominal aorta during physiological changes in flow rates and pulse rate that occur under exercise and postprandial conditions. Hemodynamic measurements were performed using an in vitro model which took into account seven major branches, the curvature, and the pulsatile nature of blood flow of the abdominal aorta. Magnetic Resonance Imaging velocimetry employing phase-velocity encoding was used to measure the pulsatile axial velocity profiles for the entire cross-section at three axial locations. Under simulated exercise conditions, the forward velocities were approximately double those seen during rest, and the flow reversal seen for resting conditions was greatly reduced. Near the posterior wall of the infrarenal aorta, the velocities were negative for only 21 percent of the cardiac cycle as compared with 82 percent for resting conditions. Postprandial conditions produced a 25 percent reduction in peak velocity and a 33 percent reduction in mean velocity near the left anterior wall of the aorta just distal to the superior mesenteric artery (in comparison with resting conditions). The changes that can occur in abdominal aorta hemodynamics under different physiologic conditions may affect the rate of progression of atherosclerosis at this site.

Entities:  

Mesh:

Year:  1994        PMID: 8189705     DOI: 10.1115/1.2895692

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  8 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.  Novel assessment of renal motion in children as measured via four-dimensional computed tomography.

Authors:  Atmaram S Pai Panandiker; Shelly Sharma; Mihir H Naik; Shengjie Wu; Chiaho Hua; Chris Beltran; Matthew J Krasin; Thomas E Merchant
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-05-27       Impact factor: 7.038

3.  Quantifying in vivo hemodynamic response to exercise in patients with intermittent claudication and abdominal aortic aneurysms using cine phase-contrast MRI.

Authors:  Adam S Tenforde; Christopher P Cheng; Ga-Young Suh; Robert J Herfkens; Ronald L Dalman; Charles A Taylor
Journal:  J Magn Reson Imaging       Date:  2010-02       Impact factor: 4.813

4.  The vascular implications of post-prandial lipoprotein metabolism.

Authors:  David R Sullivan; David S Celermajer; David G Le Couteur; Christopher W K Lam
Journal:  Clin Biochem Rev       Date:  2004-02

5.  In vivo assessment of blood flow patterns in abdominal aorta of mice with MRI: implications for AAA localization.

Authors:  Smbat Amirbekian; Robert C Long; Michelle A Consolini; Jin Suo; Nick J Willett; Sam W Fielden; Don P Giddens; W Robert Taylor; John N Oshinski
Journal:  Am J Physiol Heart Circ Physiol       Date:  2009-08-14       Impact factor: 4.733

6.  Comparison of multi-delay FAIR and pCASL labeling approaches for renal perfusion quantification at 3T MRI.

Authors:  Anita A Harteveld; Anneloes de Boer; Suzanne Lisa Franklin; Tim Leiner; Marijn van Stralen; Clemens Bos
Journal:  MAGMA       Date:  2019-12-06       Impact factor: 2.310

7.  The relationship between wall shear stress distributions and intimal thickening in the human abdominal aorta.

Authors:  Michael Bonert; Richard L Leask; Jagdish Butany; C Ross Ethier; Jerry G Myers; K Wayne Johnston; Matadial Ojha
Journal:  Biomed Eng Online       Date:  2003-11-26       Impact factor: 2.819

8.  Computational tools for clinical support: a multi-scale compliant model for haemodynamic simulations in an aortic dissection based on multi-modal imaging data.

Authors:  Mirko Bonfanti; Stavroula Balabani; John P Greenwood; Sapna Puppala; Shervanthi Homer-Vanniasinkam; Vanessa Díaz-Zuccarini
Journal:  J R Soc Interface       Date:  2017-11       Impact factor: 4.118

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.