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Cardiac Motion Estimation from 3D Echocardiography with Spatiotemporal Regularization

  • Zhijun Zhang
  • Xubo Song
  • David J. Sahn
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6666)

Abstract

Cardiac deformation and motion analysis is important for studying heart function and mechanics. Deformation and motion abnormality of the myocardial wall is usually associated with ischemia and infarct. Three-dimensional (3D) echocardiographic (echo) imaging is the most widely used method to estimate cardiac motion. However, quantitative motion analysis from echo images is still a challenging problem due to the complexity of cardiac motion, limitations in spatial and temporal resolutions, low signal noise ratio and imaging artifacts such as signal dropout. We developed a novel method to quantitatively analyze cardiac deformation and motion from echo sequences. Our estimated cardiac motion is not only regularized to be spatially but also temporally smooth. We validate our methods using (1) simulated echo images with known ground truth, and (2) in vivo echo images acquired on open-chests pigs with sonomicrometry. Tests indicate that our method can estimate cardiac motion more accurately than methods without temporal regularization.

Keywords

Cardiac motion analysis nonrigid image registration echocardiography cardiac strain estimation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Zhijun Zhang
    • 1
  • Xubo Song
    • 1
  • David J. Sahn
    • 1
    • 2
  1. 1.Department of Biomedical EngineeringOregon Health and Science UniversityBeavertonUSA
  2. 2.Department of Pediatric CardiologyOregon Health and Science UniversityBeavertonUSA

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