Cardiovascular diseases are currently the leading cause of death worldwide, and prevention remains critical in addressing this global health issue. One of the emerging approaches to cardiac health assessments involves analyzing the mechanical properties of the heart, which can serve as a powerful tool for evaluating its overall condition. While modern methods to quantify these mechanical characteristics often rely on invasive procedures, numerous non-invasive imaging techniques are already used to assess the heart’s geometric features. The aim of this thesis is to develop a mathematical model for the left ventricle that enables the estimation of the tissue stiffness throughout the cardiac cycle using geometric data, such as volume changes.