Strain-Based Regional Nonlinear Cardiac Material Properties Estimation From Medical Images

Ken C. L. Wong (1, 2) , Jatin Relan (2) , Linwei Wang (1) , Maxime Sermesant (2) , Hervé Delingette (2) , Nicholas Ayache (2) , Pengcheng Shi (1)

1 Computational Biomedicine Laboratory [Rochester]
2 ASCLEPIOS - Analysis and Simulation of Biomedical Images

Model personalization is essential for model-based surgical planning and treatment assessment. As alteration in material elasticity is a fundamental cause to various cardiac pathologies, estimation of material properties is important to model personalization. Although the myocardium is heterogeneous, hyperelastic, and orthotropic, existing image-based estimation frameworks treat the tissue as either heterogeneous but linear, or hyperelastic but homogeneous. In view of these, we present a physiology-based framework for estimating regional, hyperelastic, and orthotropic material properties. A cardiac physiological model is adopted to describe the macroscopic cardiac physiology. By using a strain-based objective function which properly reflects the change of material constants, the regional material properties of a hyperelastic and orthotropic constitutive law are estimated using derivative-free optimization. Experiments were performed on synthetic and real data to show the characteristics of the framework.

Domaines: Imagerie médicale; Traitement des images [eess.IV]; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]; Modélisation et simulation

Ken C. L. Wong, Jatin Relan, Linwei Wang, Maxime Sermesant, Hervé Delingette, et al.. Strain-Based Regional Nonlinear Cardiac Material Properties Estimation From Medical Images. Proceedings of Medical Image Computing and Computer Assisted Intervention 2012 (MICCAI), Oct 2012, Nice, France. pp.617-624, ⟨10.1007/978-3-642-33415-3_76⟩. ⟨hal-00813874⟩