Speckle tracking in 3D echocardiography with motion coherence

Xubo Song, Andriy Myronenko, David Sahn

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

9 Citations (Scopus)

Abstract

Tracking of speckles in echocardiography enables the study of myocardium deformation, and thus can provide insights about heart structure and function. Most of the current methods are based on 2D speckle tracking, which suffers from errors due to through-plane decorrelation. Speckle tracking in 3D overcomes such limitation. However, 3D speckle tracking is a challenging problem due to relatively low spatial and temporal resolution of 3D echocardiography. To ensure accurate and robust tracking, high level spatial and temporal constraints need to be incorporated. In this paper, we introduce a novel method for speckle tracking in 3D echocardiography. Instead of tracking each speckle independently, we enforce a motion coherence constraint, in conjunction with a dynamic model for the speckles. This method is validated on in vivo porcine hearts, and is proved to be accurate and robust.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
DOIs
StatePublished - 2007
Event2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07 - Minneapolis, MN, United States
Duration: Jun 17 2007Jun 22 2007

Other

Other2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07
CountryUnited States
CityMinneapolis, MN
Period6/17/076/22/07

Fingerprint

Echocardiography
Speckle
Dynamic models

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Software
  • Control and Systems Engineering

Cite this

Song, X., Myronenko, A., & Sahn, D. (2007). Speckle tracking in 3D echocardiography with motion coherence. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition [4270165] https://doi.org/10.1109/CVPR.2007.383140

Speckle tracking in 3D echocardiography with motion coherence. / Song, Xubo; Myronenko, Andriy; Sahn, David.

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2007. 4270165.

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

Song, X, Myronenko, A & Sahn, D 2007, Speckle tracking in 3D echocardiography with motion coherence. in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition., 4270165, 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07, Minneapolis, MN, United States, 6/17/07. https://doi.org/10.1109/CVPR.2007.383140
Song X, Myronenko A, Sahn D. Speckle tracking in 3D echocardiography with motion coherence. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2007. 4270165 https://doi.org/10.1109/CVPR.2007.383140
Song, Xubo ; Myronenko, Andriy ; Sahn, David. / Speckle tracking in 3D echocardiography with motion coherence. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2007.
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