Correlation search method with third-order statistics for computing velocities from ultrasound images

D. Kim, T. M. Kinter, J. F. Greenleaf

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

The correlation search method yields velocity information by tracking scatter patterns between ultrasound image frames. The displacement vector between a target region and the best-correlated search region indicates the magnitude and direction of the interframe motion of that particular region. However, if the noise sources in the target region and the search region are correlated Gaussian, then the cross-correlation technique fails to work well because it estimates the cross correlation of both signals and noises. A correlation search method is developed to seek the best-correlated third-order statistics between a target and the search region to suppress the effect of correlated Gaussian noise sources. The method yields better estimations of velocity than does the conventional cross-correlation method.

Original languageEnglish (US)
Pages (from-to)869-872
Number of pages4
JournalUltrasonics Symposium Proceedings
Volume2
StatePublished - Dec 1 1989
EventIEEE 1989 Ultrasonics Symposium - Montreal, Que, Can
Duration: Oct 3 1989Oct 6 1989

ASJC Scopus subject areas

  • Engineering(all)

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