Work

Hyperelastic Modeling of Cardiac Tissue Deformation for Data Registration

Year: 2026

Type: preprint

Abstract: This work proposes a biomechanical registration framework designed to combine functional optical-mapping data with structural high-resolution MRI of cardiac tissue. The two acquisitions are performed in different mechanical configurations: optical mapping is obtained after stretching the sample, whereas MRI is acquired in a fixed resting state. To estimate the deformation between these configurations, the tissue is modeled as a nearly incompressible transversely isotropic hyperelastic material, and the traction amplitude is identified from optical-map marker positions through an inverse problem. Two-and threedimensional simulations show physically admissible deformations and provide a first proof of concept for the proposed strategy.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.18207

Authors: Ghantous, Joyce, Coudiere, Yves, Leguèbe, Michael

Institution: Institut de Mathématiques de Bordeaux

Language: English

Topic: Elasticity and Material Modeling

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Agence Nationale de la Recherche