Literature DB >> 27323360

Image-Based Investigation of Human in Vivo Myofibre Strain.

Vicky Y Wang, Christopher Casta, Yue-Min Zhu, Brett R Cowan, Pierre Croisille, Alistair A Young, Patrick Clarysse, Martyn P Nash.   

Abstract

Cardiac myofibre deformation is an important determinant of the mechanical function of the heart. Quantification of myofibre strain relies on 3D measurements of ventricular wall motion interpreted with respect to the tissue microstructure. In this study, we estimated in vivo myofibre strain using 3D structural and functional atlases of the human heart. A finite element modelling framework was developed to incorporate myofibre orientations of the left ventricle (LV) extracted from 7 explanted normal human hearts imaged ex vivo with diffusion tensor magnetic resonance imaging (DTMRI) and kinematic measurements from 7 normal volunteers imaged in vivo with tagged MRI. Myofibre strain was extracted from the DTMRI and 3D strain from the tagged MRI. We investigated: i) the spatio-temporal variation of myofibre strain throughout the cardiac cycle; ii) the sensitivity of myofibre strain estimates to the variation in myofibre angle between individuals; and iii) the sensitivity of myofibre strain estimates to variations in wall motion between individuals. Our analysis results indicate that end systolic (ES) myofibre strain is approximately homogeneous throughout the entire LV, irrespective of the inter-individual variation in myofibre orientation. Additionally, inter-subject variability in myofibre orientations has greater effect on the variabilities in myofibre strain estimates than the ventricular wall motions. This study provided the first quantitative evidence of homogeneity of ES myofibre strain using minimally-invasive medical images of the human heart and demonstrated that image-based modelling framework can provide detailed insight to the mechanical behaviour of the myofibres, which may be used as a biomarker for cardiac diseases that affect cardiac mechanics.

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Year:  2016        PMID: 27323360     DOI: 10.1109/TMI.2016.2580573

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  7 in total

1.  Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions.

Authors:  Aditya V S Ponnaluri; Ilya A Verzhbinsky; Jeff D Eldredge; Alan Garfinkel; Daniel B Ennis; Luigi E Perotti
Journal:  Funct Imaging Model Heart       Date:  2019-05-30

2.  Estimating Aggregate Cardiomyocyte Strain Using In Vivo Diffusion and Displacement Encoded MRI.

Authors:  Ilya A Verzhbinsky; Luigi E Perotti; Kevin Moulin; Tyler E Cork; Michael Loecher; Daniel B Ennis
Journal:  IEEE Trans Med Imaging       Date:  2019-08-08       Impact factor: 10.048

3.  Microstructurally Anchored Cardiac Kinematics by Combining In Vivo DENSE MRI and cDTI.

Authors:  Luigi E Perotti; Patrick Magrath; Ilya A Verzhbinsky; Eric Aliotta; Kévin Moulin; Daniel B Ennis
Journal:  Funct Imaging Model Heart       Date:  2017-05-23

4.  Left Ventricular Diastolic Myocardial Stiffness and End-Diastolic Myofibre Stress in Human Heart Failure Using Personalised Biomechanical Analysis.

Authors:  Zhinuo J Wang; Vicky Y Wang; Chris P Bradley; Martyn P Nash; Alistair A Young; J Jane Cao
Journal:  J Cardiovasc Transl Res       Date:  2018-07-11       Impact factor: 4.132

5.  Comparison of interpolation methods of predominant cardiomyocyte orientation from in vivo and ex vivo cardiac diffusion tensor imaging data.

Authors:  Johanna Stimm; Christian Guenthner; Sebastian Kozerke; Christian T Stoeck
Journal:  NMR Biomed       Date:  2021-12-29       Impact factor: 4.478

6.  Estimating cardiomyofiber strain in vivo by solving a computational model.

Authors:  Luigi E Perotti; Ilya A Verzhbinsky; Kévin Moulin; Tyler E Cork; Michael Loecher; Daniel Balzani; Daniel B Ennis
Journal:  Med Image Anal       Date:  2020-12-05       Impact factor: 8.545

7.  Myofiber strain in healthy humans using DENSE and cDTI.

Authors:  Kévin Moulin; Pierre Croisille; Magalie Viallon; Ilya A Verzhbinsky; Luigi E Perotti; Daniel B Ennis
Journal:  Magn Reson Med       Date:  2021-02-22       Impact factor: 3.737

  7 in total

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