|Authors||G. Balaban, H. Finsberg, S. W. Funke, T. F. Håland, E. Hopp, J. Sundnes, S. Wall and M. E. Rognes|
|Title||In vivo estimation of elastic heterogeneity in an infarcted human heart|
|Project(s)||Department of Numerical Analysis and Scientific Computing|
|Publication Type||Journal Article|
|Year of Publication||2018|
|Journal||Biomechanics and Modeling in Mechanobiology|
In myocardial infarction, muscle tissue of the heart is damaged as a result of ceased or severely impaired blood flow. Survivors have an increased risk of further complications, possibly leading to heart failure. Material properties play an important role in determining post-infarction outcome. Due to spatial variation in scarring, material properties can be expected to vary throughout the tissue of a heart after an infarction. In this study we propose a data assimilation technique that can efficiently estimate heterogeneous elastic material properties in a personalized model of cardiac mechanics. The proposed data assimilation is tested on a clinical dataset consisting of regional left ventricular strains and in vivo pressures during atrial systole from a human with a myocardial infarction. Good matches to regional strains are obtained, and simulated equi-biaxial tests are carried out to demonstrate regional heterogeneities in stress–strain relationships. A synthetic data test shows a good match of estimated versus ground truth material parameter fields in the presence of no to low levels of noise. This study is the first to apply adjoint-based data assimilation to the important problem of estimating cardiac elastic heterogeneities in 3-D from medical images.