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

Andriy Myronenko, Xubo Song, David Sahn

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

39 Citations (Scopus)

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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages427-436
Number of pages10
Volume5528
DOIs
StatePublished - 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)03029743
ISSN (Electronic)16113349

Other

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

Fingerprint

Echocardiography
Spherical coordinates
Non-rigid Registration
Motion Tracking
Image acquisition
Image registration
Motion Estimation
Motion estimation
Speckle
Maximum Likelihood Estimation
Cardiac
Maximum likelihood
Image processing
Physical properties
Ultrasonics
Statistics
Data Complexity
Ultrasound Image
Myocardium
Image Acquisition

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Myronenko, A., Song, X., & Sahn, D. (2009). Maximum likelihood motion estimation in 3d echocardiography through non-rigid registration in spherical coordinates. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5528, 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

Maximum likelihood motion estimation in 3d echocardiography through non-rigid registration in spherical coordinates. / Myronenko, Andriy; Song, Xubo; Sahn, David.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5528 2009. p. 427-436 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5528).

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

Myronenko, A, Song, X & Sahn, D 2009, Maximum likelihood motion estimation in 3d echocardiography through non-rigid registration in spherical coordinates. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5528, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5528, pp. 427-436, 5th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2009, Nice, France, 6/3/09. https://doi.org/10.1007/978-3-642-01932-6_46
Myronenko A, Song X, Sahn D. Maximum likelihood motion estimation in 3d echocardiography through non-rigid registration in spherical coordinates. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5528. 2009. p. 427-436. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-01932-6_46
Myronenko, Andriy ; Song, Xubo ; Sahn, David. / Maximum likelihood motion estimation in 3d echocardiography through non-rigid registration in spherical coordinates. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5528 2009. pp. 427-436 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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