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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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)
Title of host publicationUltrasonics Symposium Proceedings
PublisherPubl by IEEE
Pages869-872
Number of pages4
Volume2
StatePublished - 1989
EventIEEE 1989 Ultrasonics Symposium - Montreal, Que, Can
Duration: Oct 3 1989Oct 6 1989

Other

OtherIEEE 1989 Ultrasonics Symposium
CityMontreal, Que, Can
Period10/3/8910/6/89

Fingerprint

Ultrasonics
Statistics
Correlation methods

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Kim, D., Kinter, T. M., & Greenleaf, J. F. (1989). Correlation search method with third-order statistics for computing velocities from ultrasound images. In Ultrasonics Symposium Proceedings (Vol. 2, pp. 869-872). Publ by IEEE.

Correlation search method with third-order statistics for computing velocities from ultrasound images. / Kim, D.; Kinter, T. M.; Greenleaf, James F.

Ultrasonics Symposium Proceedings. Vol. 2 Publ by IEEE, 1989. p. 869-872.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kim, D, Kinter, TM & Greenleaf, JF 1989, Correlation search method with third-order statistics for computing velocities from ultrasound images. in Ultrasonics Symposium Proceedings. vol. 2, Publ by IEEE, pp. 869-872, IEEE 1989 Ultrasonics Symposium, Montreal, Que, Can, 10/3/89.
Kim D, Kinter TM, Greenleaf JF. Correlation search method with third-order statistics for computing velocities from ultrasound images. In Ultrasonics Symposium Proceedings. Vol. 2. Publ by IEEE. 1989. p. 869-872
Kim, D. ; Kinter, T. M. ; Greenleaf, James F. / Correlation search method with third-order statistics for computing velocities from ultrasound images. Ultrasonics Symposium Proceedings. Vol. 2 Publ by IEEE, 1989. pp. 869-872
@inproceedings{957f745bb4d4483b99b17f8ca90f49d9,
title = "Correlation search method with third-order statistics for computing velocities from ultrasound images",
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.",
author = "D. Kim and Kinter, {T. M.} and Greenleaf, {James F}",
year = "1989",
language = "English (US)",
volume = "2",
pages = "869--872",
booktitle = "Ultrasonics Symposium Proceedings",
publisher = "Publ by IEEE",

}

TY - GEN

T1 - Correlation search method with third-order statistics for computing velocities from ultrasound images

AU - Kim, D.

AU - Kinter, T. M.

AU - Greenleaf, James F

PY - 1989

Y1 - 1989

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0024895999&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024895999&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0024895999

VL - 2

SP - 869

EP - 872

BT - Ultrasonics Symposium Proceedings

PB - Publ by IEEE

ER -