Literature DB >> 11397530

Sources of error in maximum velocity estimation using linear phased-array Doppler systems with steady flow.

A H Steinman1, J Tavakkoli, J G Myers, R S Cobbold, K W Johnston.   

Abstract

Using linear-array Doppler ultrasound (US) transducers, the measured maximum velocity may be in error and lead to incorrect clinical diagnosis. This study investigates the existence and cause of maximum velocity estimation errors for steady flow of a blood-mimicking fluid in a tissue-mimicking phantom. A specially designed system was used that enabled fine control of flow rate, transducer positioning and transducer angle relative to the flow phantom. Doppler machine settings (transducer aperture size, focal depth, beam-steering, gain) were varied to investigate a wide range of clinical applications. To estimate the maximum velocity, a new signal-to-noise ratio (SNR) independent method was developed to calculate the maximum frequency from an ensemble averaged Doppler power spectrum. This enabled the impact of each factor on the total Doppler error to be determined. When using the new maximum frequency estimator, it was found that the effect of transducer focal depth, intratransducer, intramachine, intermachine (that was tested) and beam-steering did not significantly contribute to maximum velocity estimation errors. Instead, it was the dependence of the maximum velocity on the Doppler angle that made, by far, the greatest contribution to the estimation error. Because our maximum frequency estimator took into account the effect of intrinsic spectral broadening, the degree of overestimation error was not as great as that previously published. Thus, the effects of Doppler angle and intrinsic spectral broadening are the chief sources of Doppler US error and should be the focus of future efforts to improve the accuracy.

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Mesh:

Year:  2001        PMID: 11397530     DOI: 10.1016/s0301-5629(01)00352-0

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


  6 in total

1.  Computer vision approach for ultrasound Doppler angle estimation.

Authors:  Ashraf A Saad; Thanasis Loupas; Linda G Shapiro
Journal:  J Digit Imaging       Date:  2008-05-17       Impact factor: 4.056

2.  A feasability study of color flow doppler vectorization for automated blood flow monitoring.

Authors:  R Schorer; A Badoual; B Bastide; A Vandebrouck; M Licker; D Sage
Journal:  J Clin Monit Comput       Date:  2016-11-12       Impact factor: 2.502

3.  Ultrasound assessment of the motion patterns of human flexor digitorum superficialis and profundus tendons with speckle tracking.

Authors:  Yuichi Yoshii; Jacqueline Henderson; Hector R Villarraga; Chunfeng Zhao; Kai-Nan An; Peter C Amadio
Journal:  J Orthop Res       Date:  2011-04-05       Impact factor: 3.494

4.  High-frame-rate contrast-enhanced ultrasound particle image velocimetry in patients with a stented superficial femoral artery: a feasibility study.

Authors:  Majorie van Helvert; Stefan Engelhard; Jason Voorneveld; Marije van der Vee; Johan G Bosch; Michel Versluis; Erik Groot Jebbink; Michel M P J Reijnen
Journal:  Eur Radiol Exp       Date:  2022-07-06

5.  Speckle tracking ultrasound for assessment of the relative motion of flexor tendon and subsynovial connective tissue in the human carpal tunnel.

Authors:  Yuichi Yoshii; Hector R Villarraga; Jacqueline Henderson; Chunfeng Zhao; Kai-Nan An; Peter C Amadio
Journal:  Ultrasound Med Biol       Date:  2009-10-13       Impact factor: 2.998

6.  Evaluation of Peak Reflux Velocities with Vector Flow Imaging and Spectral Doppler Ultrasound in Varicose Veins.

Authors:  Thor Bechsgaard; Kristoffer Lindskov Hansen; Andreas Brandt; Ramin Moshavegh; Julie Lyng Forman; Pia Føgh; Lotte Klitfod; Niels Bækgaard; Lars Lönn; Jørgen Arendt Jensen; Michael Bachmann Nielsen
Journal:  Ultrasound Int Open       Date:  2018-09-28
  6 in total

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