Aug 2026· Annals of Biomedical Engineering· 0 citations· 61 references
Medicine
TL;DR
This framework provides a comprehensive and physically consistent characterization of myocardial mechanics from widely available 3D echocardiographic data and motivates future evaluation in larger, more diverse patient cohorts to establish its clinical reliability.
Abstract
Purpose Quantitative assessment of myocardial deformation is increasingly important in clinical cardiology, yet conventional two-dimensional (2D) echocardiography and standard three-dimensional (3D) approaches remain limited by out-of-plane motion and incomplete characterization of transmural mechanics. To address these limitations, we introduce a physics-informed framework for 3D echocardiography that reconstructs the full finite strain tensor across the entire myocardial wall. As an initial methodological study, we demonstrate the framework and validate it against cardiac magnetic resonance in a small cohort. Methods Endocardial and epicardial surfaces were segmented from 3D echocardiographic datasets and tracked throughout the cardiac cycle using speckle-tracking techniques. An optimization framework with a soft volumetric penalty was implemented, permitting volume change at finite cost while maintaining tracking fidelity and geometric smoothness. The resulting deformation field enabled reconstruction of the complete 3D strain tensor. Global strain measurements derived from the method were validated against cardiac magnetic resonance (CMR) measurements obtained in two subjects. Results Global longitudinal and circumferential strain values obtained from the proposed framework showed strong agreement with CMR measurements. The optimization procedure also demonstrated robustness to segmentation variability and reduced errors associated with epicardial tracking. Beyond conventional strain indices, the method enabled reconstruction of spatially resolved principal strain fields throughout the ventricular wall, revealing physiologically consistent transmural gradients and contraction patterns. Conclusion Physics-informed integration of speckle tracking with biomechanical constraints enables robust reconstruction of 3D myocardial deformation from echocardiography. This framework provides a comprehensive and physically consistent characterization of myocardial mechanics from widely available 3D echocardiographic data. These initial results support the feasibility of the proposed framework and motivate future evaluation in larger, more diverse patient cohorts to establish its clinical reliability.
The RT-SVR approach enables 4D cardiac cine with comparable bi-ventricular volumes, contrast, sharpness, and acquisition time compared to standard breath-hold cine while providing additional motion robustness.
Ye Tian, A. A. Joshi, Jon A. Detterich et al.· Magnetic Resonance in Medici...· 0 citations
Cardiac strains provide significant information to evaluate cardiac performance. They can be evaluated using full field voxel-wise displacements measured, for example, using displacement encoding with stimulated echoes (DENSE) magnetic resonance imaging (MRI) or from features and textures that are measured using Cine M...
Mohammad Naqizadeh Jahromi, Rodrigo Menna Costa, Augusto Delavald Marques et al.· Biomechanics and Modeling in...· 0 citations
Global markers of myocardial function are limited in the information they provide, warranting the need for local markers that are sensitive and specific to myocardial physiology. Myocardial deformation, quantified by strain, is a robust marker of myocardial function that is locally defined and can provide deeper insigh...
T. Hussein, A. Pourmorteza, J. Oshinski· British Journal of Radiology· 0 citations
Assessment of right ventricular (RV) function by two‐dimensional (2D) echocardiography remains challenging due to complex geometry, limited acoustic windows, and the angle dependency of conventional parameters. RV longitudinal strain, derived from 2D speckle‐tracking echocardiography, has emerged as a quantitative, ang...
A. Balinisteanu, Miao-Miao Liu, Reza Bahrami Gorji et al.· Echocardiography· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.