Evidence map›Paper›PMID 42593608›Full record

ArticleAnnals of biomedical engineering2026

Physics-Informed Reconstruction of Transmural Myocardial Deformation from 3D Echocardiography: Validation Against Cardiac MRI.

Satya Prakash Pradhan, Arash Yavari, Issac D Lindley, Nader Binesh, Yuri P Matusov, Kambiz Ghafourian, Gianni Pedrizzetti, Arash Kheradvar

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Satya Prakash PradhanDepartment of Biomedical Engineering, Samueli School of Engineering, University of California, Irvine, CA, 92697-2715, USA.
Arash YavariSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Issac D LindleyDepartment of Imaging, Cedars-Sinai Medical Center, 127 S San Vicente Blvd, Los Angeles, CA, 90048, USA.
Nader BineshDepartment of Imaging, Cedars-Sinai Medical Center, 127 S San Vicente Blvd, Los Angeles, CA, 90048, USA.
Yuri P MatusovDivision of Pulmonary & Critical Care Medicine, Department of Medicine, Cedars-Sinai Medical Center, 8670 Wilshire Blvd, Beverly Hills, CA, 90211, USA.
Kambiz GhafourianCedars-Sinai California Heart Center, 8670 Wilshire Blvd, Beverly Hills, CA, 90211, USA.
Gianni PedrizzettiDepartment of Engineering and Architecture, University of Trieste, Via Valerio 6/1, 34127, Trieste, Italy.
Arash KheradvarDepartment of Biomedical Engineering, Samueli School of Engineering, University of California, Irvine, CA, 92697-2715, USA. arashkh@uci.edu.ORCID http://orcid.org/0000-0003-3864-1359

Funding

Volumetric Echocardiographic Particle Image Velocimetry for Grading the Severity of Mitral Valve RegurgitationR01HL153724 · NHLBI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Arash Kheradvar · 2022 to 2026
$3.9M
Computational and Experimental Modeling of Subclinical Leaflet Thrombosis in Bioprosthetic Aortic ValvesR01HL157631 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FOGELSON, AARON L, GRIFFITH, BOYCE EUGENE · 2022 to 2025
$2.7M
Reciprocal effects between scaffold geometry and ventricular vortex flow on viability and performance of tissue-engineered mitral valveR01HL162687 · NHLBI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Arash Kheradvar · 2023 to 2026
$2.3M
High-speed 4D echocardiography system with adjustable multi-planar acquisitionR56HL173809 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KHERADVAR, ARASH, YEN, JESSE T-P · 2024 to 2024
$678k
NHLBI NIH HHS R01 HL153724NHLBI NIH HHS R01 HL157631NHLBI NIH HHS R01 HL162687NHLBI NIH HHS R56 HL173809
6 · The paper itself

Abstract

purposeQuantitative 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.

methodsEndocardial 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.

resultsGlobal 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.

conclusionPhysics-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.

Indexed as

Cardiac MRIEchocardiographyFinite strainLeft ventricleMyocardial strainSpeckle tracking

Identifiers

PMID42593608
PMCPMC13532400

What Socratic holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.