Cardiac motion estimation from 3D echocardiography with spatiotemporal regularization

Zhijun Zhang, Xubo Song, David Sahn

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

7 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages350-358
Number of pages9
Volume6666 LNCS
DOIs
Publication statusPublished - 2011
Event6th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2011 - New York City, NY, United States
Duration: May 25 2011May 27 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6666 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2011
CountryUnited States
CityNew York City, NY
Period5/25/115/27/11

    Fingerprint

Keywords

  • Cardiac motion analysis
  • cardiac strain estimation
  • echocardiography
  • nonrigid image registration

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Zhang, Z., Song, X., & Sahn, D. (2011). Cardiac motion estimation from 3D echocardiography with spatiotemporal regularization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6666 LNCS, pp. 350-358). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6666 LNCS). https://doi.org/10.1007/978-3-642-21028-0_45