Literature DB >> 28148767

Ultrasound imaging velocimetry with interleaved images for improved pulsatile arterial flow measurements: a new correction method, experimental and in vivo validation.

Katharine H Fraser1, Christian Poelma2, Bin Zhou3, Eleni Bazigou4, Meng-Xing Tang4, Peter D Weinberg4.   

Abstract

Blood velocity measurements are important in physiological science and clinical diagnosis. Doppler ultrasound is the most commonly used method but can only measure one velocity component. Ultrasound imaging velocimetry (UIV) is a promising technique capable of measuring two velocity components; however, there is a limit on the maximum velocity that can be measured with conventional hardware which results from the way images are acquired by sweeping the ultrasound beam across the field of view. Interleaved UIV is an extension of UIV in which two image frames are acquired concurrently, allowing the effective interframe separation time to be reduced and therefore increasing the maximum velocity that can be measured. The sweeping of the ultrasound beam across the image results in a systematic error which must be corrected: in this work, we derived and implemented a new velocity correction method which accounts for acceleration of the scatterers. We then, for the first time, assessed the performance of interleaved UIV for measuring pulsatile arterial velocities by measuring flows in phantoms and in vivo and comparing the results with spectral Doppler ultrasound and transit-time flow probe data. The velocity and flow rate in the phantom agreed within 5-10% of peak velocity, and 2-9% of peak flow, respectively, and in vivo the velocity difference was 9% of peak velocity. The maximum velocity measured was 1.8 m s-1, the highest velocity reported with UIV. This will allow flows in diseased arteries to be investigated and so has the potential to increase diagnostic accuracy and enable new vascular research.
© 2017 The Author(s).

Entities:  

Keywords:  atherosclerosis; blood flow; echo-PIV; haemodynamics; particle image velocimetry; ultrasound

Mesh:

Year:  2017        PMID: 28148767      PMCID: PMC5332564          DOI: 10.1098/rsif.2016.0761

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  33 in total

1.  A comparison of single- and dual-beam methods for maximum velocity estimation.

Authors:  P R Hoskins
Journal:  Ultrasound Med Biol       Date:  1999-05       Impact factor: 2.998

2.  Measurement of flow velocity fields in small vessel-mimic phantoms and vessels of small animals using micro ultrasonic particle image velocimetry (micro-EPIV).

Authors:  Ming Qian; Lili Niu; Yanping Wang; Bo Jiang; Qiaofeng Jin; Chunxiang Jiang; Hairong Zheng
Journal:  Phys Med Biol       Date:  2010-09-21       Impact factor: 3.609

Review 3.  Colour flow and motion imaging.

Authors:  D H Evans
Journal:  Proc Inst Mech Eng H       Date:  2010       Impact factor: 1.617

4.  High frame-rate blood vector velocity imaging using plane waves: simulations and preliminary experiments.

Authors:  Jesper Udesen; Fredrik Gran; Kristoffer Lindskov Hansen; Jørgen Arendt Jensen; Carsten Thomsen; Michael Bachmann Nielsen
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2008-08       Impact factor: 2.725

5.  Ultrasound imaging velocimetry: effect of beam sweeping on velocity estimation.

Authors:  Bin Zhou; Katharine H Fraser; Christian Poelma; Jean-Martial Mari; Robert J Eckersley; Peter D Weinberg; Meng-Xing Tang
Journal:  Ultrasound Med Biol       Date:  2013-06-19       Impact factor: 2.998

6.  Assessment of cardiac dysfunction by dissipative energy loss derived from vector flow mapping.

Authors:  Yue Zhong; Wei Zhu; Chun-Mei Li; Li Rao
Journal:  J Cardiol       Date:  2015-07-09       Impact factor: 3.159

7.  Comparison of carotid artery blood velocity measurements by vector and standard Doppler approaches.

Authors:  Piero Tortoli; Matteo Lenge; Daniele Righi; Gabriele Ciuti; Hervé Liebgott; Stefano Ricci
Journal:  Ultrasound Med Biol       Date:  2015-02-23       Impact factor: 2.998

8.  Simultaneous quantification of flow and tissue velocities based on multi-angle plane wave imaging.

Authors:  Ingvild Kinn Ekroll; Abigail Swillens; Patrick Segers; Torbjørn Dahl; Hans Torp; Lasse Lovstakken
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2013-04       Impact factor: 2.725

9.  In-vivo assessment of the morphology and hemodynamic functions of the BioValsalva™ composite valve-conduit graft using cardiac magnetic resonance imaging and computational modelling technology.

Authors:  Emaddin Kidher; Zhuo Cheng; Omar A Jarral; Declan P O'Regan; Xiao Yun Xu; Thanos Athanasiou
Journal:  J Cardiothorac Surg       Date:  2014-12-09       Impact factor: 1.637

Review 10.  Imaging of small animal peripheral artery disease models: recent advancements and translational potential.

Authors:  Jenny B Lin; Evan H Phillips; Ti'Air E Riggins; Gurneet S Sangha; Sreyashi Chakraborty; Janice Y Lee; Roy J Lycke; Clarissa L Hernandez; Arvin H Soepriatna; Bradford R H Thorne; Alexa A Yrineo; Craig J Goergen
Journal:  Int J Mol Sci       Date:  2015-05-18       Impact factor: 5.923

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  5 in total

1.  Longitudinal characterization of local perfusion of the rat placenta using contrast-enhanced ultrasound imaging.

Authors:  Dylan J Lawrence; Kristie Huda; Carolyn L Bayer
Journal:  Interface Focus       Date:  2019-08-16       Impact factor: 3.906

2.  Measurement of Wall Shear Stress Exerted by Flowing Blood in the Human Carotid Artery: Ultrasound Doppler Velocimetry and Echo Particle Image Velocimetry.

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

3.  Ventricular Flow Field Visualization During Mechanical Circulatory Support in the Assisted Isolated Beating Heart.

Authors:  P Aigner; M Schweiger; K Fraser; Y Choi; F Lemme; N Cesarovic; U Kertzscher; H Schima; M Hübler; M Granegger
Journal:  Ann Biomed Eng       Date:  2019-11-18       Impact factor: 3.934

4.  Ultrasound imaging velocimetry with interleaved images for improved pulsatile arterial flow measurements: a new correction method, experimental and in vivo validation.

Authors:  Katharine H Fraser; Christian Poelma; Bin Zhou; Eleni Bazigou; Meng-Xing Tang; Peter D Weinberg
Journal:  J R Soc Interface       Date:  2017-02       Impact factor: 4.118

Review 5.  Measurement in opaque flows: a review of measurement techniques for dispersed multiphase flows.

Authors:  Christian Poelma
Journal:  Acta Mech       Date:  2020-05-13       Impact factor: 2.698

  5 in total

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