An Image Registration Framework to Estimate 3D Myocardial Strains from Cine Cardiac MRI in Mice

Maziyar Keshavarzian, Elizabeth Fugate, Saurabh Chavan, Vy Chu, Mohammed Arif, Diana Lindquist, Sakthivel Sadayappan, Reza Avazmohammadi

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

Abstract

Accurate and efficient quantification of cardiac motion offers promising biomarkers for non-invasive diagnosis and prognosis of structural heart diseases. Cine cardiac magnetic resonance imaging remains one of the most advanced imaging tools to provide image acquisitions needed to assess and quantify in-vivo heart kinematics. The majority of cardiac motion studies are focused on human data, and there remains a need to develop and implement an image-registration pipeline to quantify full three-dimensional (3D) cardiac motion in mice where ideal image acquisition is challenged by the subject size and heart rate and the possibility of traditional tagged imaging is hampered. In this study, we used diffeomorphic image registration to estimate strains in the left ventricular wall in two wild-type mice and one diabetic mouse. Our pipeline resulted in a continuous and fully 3D strain map over one cardiac cycle. The estimation of 3D regional and transmural variations of strains is a critical step towards identifying mechanistic biomarkers for improved diagnosis and phenotyping of structural left heart diseases including heart failure with reduced or preserved ejection fraction.

Original languageEnglish (US)
Title of host publicationFunctional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings
EditorsDaniel B. Ennis, Luigi E. Perotti, Vicky Y. Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages273-284
Number of pages12
ISBN (Print)9783030787097
DOIs
StatePublished - 2021
Event11th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021 - Virtual, Online
Duration: Jun 21 2021Jun 25 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12738 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021
CityVirtual, Online
Period6/21/216/25/21

Keywords

  • Cardiac magnetic resonance imaging
  • Left ventricle
  • Small animals
  • Wall strain

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'An Image Registration Framework to Estimate 3D Myocardial Strains from Cine Cardiac MRI in Mice'. Together they form a unique fingerprint.

Cite this