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

doi:10.1007/978-3-030-78710-3_27

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 proceeding › Conference contribution

9 Scopus citations

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 language	English (US)
Title of host publication	Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings
Editors	Daniel B. Ennis, Luigi E. Perotti, Vicky Y. Wang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	273-284
Number of pages	12
Volume	12738
ISBN (Print)	9783030787097
DOIs	https://doi.org/10.1007/978-3-030-78710-3_27
State	Published - Jun 2021
Event	11th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021 - Virtual, Online Duration: Jun 21 2021 → Jun 25 2021

Publication series

Name	Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH

Conference

Conference	11th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021
City	Virtual, Online
Period	6/21/21 → 6/25/21

Keywords

Cardiac magnetic resonance imaging
Left ventricle
Small animals
Wall strain

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-78710-3_27

Cite this

Keshavarzian, M., Fugate, E., Chavan, S., Chu, V., Arif, M., Lindquist, D., Sadayappan, S., & Avazmohammadi, R. (2021). An Image Registration Framework to Estimate 3D Myocardial Strains from Cine Cardiac MRI in Mice. In D. B. Ennis, L. E. Perotti, & V. Y. Wang (Eds.), Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings (Vol. 12738, pp. 273-284). (Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-78710-3_27

An Image Registration Framework to Estimate 3D Myocardial Strains from Cine Cardiac MRI in Mice. / Keshavarzian, Maziyar; Fugate, Elizabeth; Chavan, Saurabh et al.
Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings. ed. / Daniel B. Ennis; Luigi E. Perotti; Vicky Y. Wang. Vol. 12738 Springer Science and Business Media Deutschland GmbH, 2021. p. 273-284 (Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Keshavarzian, M, Fugate, E, Chavan, S, Chu, V, Arif, M, Lindquist, D, Sadayappan, S & Avazmohammadi, R 2021, An Image Registration Framework to Estimate 3D Myocardial Strains from Cine Cardiac MRI in Mice. in DB Ennis, LE Perotti & VY Wang (eds), Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings. vol. 12738, Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH, Springer Science and Business Media Deutschland GmbH, pp. 273-284, 11th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021, Virtual, Online, 6/21/21. https://doi.org/10.1007/978-3-030-78710-3_27

Keshavarzian M, Fugate E, Chavan S, Chu V, Arif M, Lindquist D et al. An Image Registration Framework to Estimate 3D Myocardial Strains from Cine Cardiac MRI in Mice. In Ennis DB, Perotti LE, Wang VY, editors, Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings. Vol. 12738. Springer Science and Business Media Deutschland GmbH. 2021. p. 273-284. (Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH). doi: 10.1007/978-3-030-78710-3_27

Keshavarzian, Maziyar ; Fugate, Elizabeth ; Chavan, Saurabh et al. / An Image Registration Framework to Estimate 3D Myocardial Strains from Cine Cardiac MRI in Mice. Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings. editor / Daniel B. Ennis ; Luigi E. Perotti ; Vicky Y. Wang. Vol. 12738 Springer Science and Business Media Deutschland GmbH, 2021. pp. 273-284 (Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH).

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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