Literature DB >> 23453373

Effect of velocity profile skewing on blood velocity and volume flow waveforms derived from maximum Doppler spectral velocity.

Jonathan P Mynard1, David A Steinman.   

Abstract

Given evidence that fully developed axisymmetric flow may be the exception rather than the rule, even in nominally straight arteries, maximum velocity (V(max)) can lie outside the Doppler sample volume (SV). The link between V(max) and derived quantities, such as volume flow (Q), may therefore be more complex than commonly thought. We performed idealized virtual Doppler ultrasound on data from image-based computational fluid dynamics (CFD) models of the normal human carotid artery and investigated how velocity profile skewing and choice of sample volume affected V(max) waveforms and derived Q variables, considering common assumptions about velocity profile shape (i.e., Poiseuille or Womersley). Severe velocity profile skewing caused substantial errors in V(max) waveforms when using a small, centered SV, although peak V(max) was reliably detected; errors with a long SV covering the vessel diameter were orientation dependent but lower overall. Cycle-averaged Q calculated from V(max) was typically within ±15%, although substantial skewing and use of a small SV caused 10%-25% underestimation. Peak Q derived from Womersley's theory was generally accurate to within ±10%. V(max) pulsatility and resistance indexes differed from Q-based values, although the Q-based resistance index could be predicted reliably. Skewing introduced significant error into V(max)-derived Q waveforms, particularly during mid-to-late systole. Our findings suggest that errors in the V(max) and Q waveforms related to velocity profile skewing and use of a small SV, or orientation-dependent errors for a long SV, could limit their use in wave analysis or for constructing characteristic or patient-specific flow boundary conditions for model studies.
Copyright © 2013 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23453373     DOI: 10.1016/j.ultrasmedbio.2012.11.006

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  7 in total

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Authors:  Phillip E Gates; Arati Gurung; Luciano Mazzaro; Kuni Aizawa; Salim Elyas; William D Strain; Angela C Shore; Robin Shandas
Journal:  Ultrasound Med Biol       Date:  2018-04-17       Impact factor: 2.998

2.  Errors in the estimation of wall shear stress by maximum Doppler velocity.

Authors:  Jonathan P Mynard; Bruce A Wasserman; David A Steinman
Journal:  Atherosclerosis       Date:  2013-01-25       Impact factor: 5.162

3.  Comparison of hemodialysis arteriovenous fistula blood flow rates measured by Doppler ultrasound and phase-contrast magnetic resonance imaging.

Authors:  Yong He; Yan-Ting Shiu; Daniel B Pike; Prabir Roy-Chaudhury; Alfred K Cheung; Scott A Berceli
Journal:  J Vasc Surg       Date:  2018-05-18       Impact factor: 4.268

4.  In vitro validation of endovascular Doppler-derived flow rates in models of the cerebral circulation.

Authors:  P M McGah; J D Nerva; R P Morton; M C Barbour; M R Levitt; P D Mourad; L J Kim; A Aliseda
Journal:  Physiol Meas       Date:  2015-10-09       Impact factor: 2.833

5.  Accuracy of computational cerebral aneurysm hemodynamics using patient-specific endovascular measurements.

Authors:  Patrick M McGah; Michael R Levitt; Michael C Barbour; Ryan P Morton; John D Nerva; Pierre D Mourad; Basavaraj V Ghodke; Danial K Hallam; Laligam N Sekhar; Louis J Kim; Alberto Aliseda
Journal:  Ann Biomed Eng       Date:  2013-10-26       Impact factor: 3.934

6.  Wall Shear Stress Measurements Based on Ultrasound Vector Flow Imaging: Theoretical Studies and Clinical Examples.

Authors:  Yigang Du; Alfredo Goddi; Chandra Bortolotto; Yingying Shen; Alex Dell'Era; Fabrizio Calliada; Lei Zhu
Journal:  J Ultrasound Med       Date:  2020-03-03       Impact factor: 2.153

7.  Personalising cardiovascular network models in pregnancy: A two-tiered parameter estimation approach.

Authors:  Jason Carson; Lynne Warrander; Edward Johnstone; Raoul van Loon
Journal:  Int J Numer Method Biomed Eng       Date:  2020-01-13       Impact factor: 2.648

  7 in total

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