Right ventricular strain analysis from 3D echocardiography by using temporally diffeomorphic motion estimation

Zhijun Zhang, David J. Sahn, Xubo Song

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

4 Scopus citations

Abstract

Quantitative motion analysis of the right ventricle (RV) is important to study its function. However, the RV study is more difficult than that of left ventricle (LV) because of its complex shape and the limitations of the existing imaging methods. We propose a diffeomorphic motion estimation method and apply it to the 3D echocardiography of five open-chest pigs under different steady states. We first validate the motion estimation method by using sonomicrometry. Then we estimate the myocardium strain of different steady states. The RV free wall (RVFW) is divided into twelve segments and their strain patterns in each steady states together with the corresponding cardiac mechanics are analyzed. This is the first time to quantitatively analyze the RVFW segment strains from 3D echocardiography by using algorithm.

Original languageEnglish (US)
Title of host publicationFunctional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings
Pages474-482
Number of pages9
DOIs
StatePublished - 2013
Event7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013 - London, United Kingdom
Duration: Jun 20 2013Jun 22 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7945 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013
Country/TerritoryUnited Kingdom
CityLondon
Period6/20/136/22/13

Keywords

  • Right ventricle
  • diffeomorphic registration
  • motion estimation
  • strain analysis

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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