Maximum likelihood motion estimation in 3d echocardiography through non-rigid registration in spherical coordinates

Andriy Myronenko, Xubo Song, David J. Sahn

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

39 Scopus citations

Abstract

Automated motion tracking of the myocardium from 3D echocardiography provides insight into heart's architecture and function. We present a method for 3D cardiac motion tracking using non-rigid image registration. Our contribution is two-fold. We introduce a new similarity measure derived from a maximum likelihood perspective taking into account physical properties of ultrasound image acquisition and formation. Second, we use envelope-detected 3D echo images in the raw spherical coordinates format, which preserves speckle statistics and represents a compromise between signal detail and data complexity. We derive mechanical measures such as strain and twist, and validate using sonomicrometry in open-chest piglets. The results demonstrate the accuracy and feasibility of our method for studying cardiac motion.

Original languageEnglish (US)
Title of host publicationFunctional Imaging and Modeling of the Heart - 5th International Conference, FIMH 2009, Proceedings
Pages427-436
Number of pages10
DOIs
StatePublished - Aug 21 2009
Event5th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2009 - Nice, France
Duration: Jun 3 2009Jun 5 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5528
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2009
CountryFrance
CityNice
Period6/3/096/5/09

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Myronenko, A., Song, X., & Sahn, D. J. (2009). Maximum likelihood motion estimation in 3d echocardiography through non-rigid registration in spherical coordinates. In Functional Imaging and Modeling of the Heart - 5th International Conference, FIMH 2009, Proceedings (pp. 427-436). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5528). https://doi.org/10.1007/978-3-642-01932-6_46