Error analysis of ultrasonic tissue Doppler velocity estimation techniques for quantification of velocity and strain

Michael J. Bennett, Stephen McLaughlin, Tom Anderson, W. Norman McDicken

Research output: Contribution to journalArticle

Abstract

Recent work in the field of Doppler tissue imaging has focused mainly on the quantification of results involving the use of techniques of strain and strain-rate imaging. These results are based on measuring a velocity gradient between two points, a known distance apart, in the region-of-interest. Although many recent publications have demonstrated the potential of this technique in clinical terms, the method still suffers from low repeatability. The work presented here demonstrates, through the use of a rotating phantom arrangement and a custom developed single element ultrasound system, that this is a consequence of the fundamental accuracy of the technique used to estimate the original velocities. Results are presented comparing the performance of the conventional Kasai autocorrelation velocity estimator with those obtained using time domain cross-correlation and the complex cross-correlation model based estimator. The results demonstrate that the complex cross-correlation model based technique is able to offer lower standard deviations of the velocity gradient estimations compared with the Kasai algorithm. (E-mail: mjb@ee.ed.ac.uk) (c) 2006 World Federation for Ultrasound in Medicine & Biology.

Original languageEnglish
Pages (from-to)74-81
Number of pages8
JournalUltrasound in Medicine and Biology
Volume33
Issue number1
DOIs
Publication statusPublished - Jan 2007

Cite this

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title = "Error analysis of ultrasonic tissue Doppler velocity estimation techniques for quantification of velocity and strain",
abstract = "Recent work in the field of Doppler tissue imaging has focused mainly on the quantification of results involving the use of techniques of strain and strain-rate imaging. These results are based on measuring a velocity gradient between two points, a known distance apart, in the region-of-interest. Although many recent publications have demonstrated the potential of this technique in clinical terms, the method still suffers from low repeatability. The work presented here demonstrates, through the use of a rotating phantom arrangement and a custom developed single element ultrasound system, that this is a consequence of the fundamental accuracy of the technique used to estimate the original velocities. Results are presented comparing the performance of the conventional Kasai autocorrelation velocity estimator with those obtained using time domain cross-correlation and the complex cross-correlation model based estimator. The results demonstrate that the complex cross-correlation model based technique is able to offer lower standard deviations of the velocity gradient estimations compared with the Kasai algorithm. (E-mail: mjb@ee.ed.ac.uk) (c) 2006 World Federation for Ultrasound in Medicine & Biology.",
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Error analysis of ultrasonic tissue Doppler velocity estimation techniques for quantification of velocity and strain. / Bennett, Michael J.; McLaughlin, Stephen; Anderson, Tom; McDicken, W. Norman.

In: Ultrasound in Medicine and Biology, Vol. 33, No. 1, 01.2007, p. 74-81.

Research output: Contribution to journalArticle

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AB - Recent work in the field of Doppler tissue imaging has focused mainly on the quantification of results involving the use of techniques of strain and strain-rate imaging. These results are based on measuring a velocity gradient between two points, a known distance apart, in the region-of-interest. Although many recent publications have demonstrated the potential of this technique in clinical terms, the method still suffers from low repeatability. The work presented here demonstrates, through the use of a rotating phantom arrangement and a custom developed single element ultrasound system, that this is a consequence of the fundamental accuracy of the technique used to estimate the original velocities. Results are presented comparing the performance of the conventional Kasai autocorrelation velocity estimator with those obtained using time domain cross-correlation and the complex cross-correlation model based estimator. The results demonstrate that the complex cross-correlation model based technique is able to offer lower standard deviations of the velocity gradient estimations compared with the Kasai algorithm. (E-mail: mjb@ee.ed.ac.uk) (c) 2006 World Federation for Ultrasound in Medicine & Biology.

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