ObjectiveHeart failure (HF) results in changes of the function of left ventricular (LV) which can be reflected by the variation of the biomechanical properties, such as fiber stress and strain. Finite element (FE) method is often seen as an effective way to analysis biomechanical properties of the heart. Our requirement is to build an accurate patient‐specific LV FE model and analyze its biomechanical behavior.MethodSix patients from Peking University First Hospital are divided in two groups, infarcted (n=3) and normal (n=3). All these patients are scanned by the magnetic resonance (MR). Three‐dimensional LV geometries are segmented from cardiac MR images at end‐diastolic from their hearts. By developing non‐linear finite element model as well as the algorithm based on the multiplicative decomposition of the deformation gradient tensor, we find the unloaded configuration with zero pressure. To determine regional stress and strain distributions in ventricular myocardium, transversely isotropic constitutive law is taken. To better describe different stiffness of LV with HF, it is divided into three regions, respectively called infarcted region, border zone and remote region. For three patients with HF, the stress scaling coefficient of constitutive law at the infarcted region is defined to be ten times stiffer than two other areas while the stiffness of the whole LV remains the same for three normal patients.ResultsAs can be shown from Fig. 1, fiber stresses of three infracted patients are 8.748±5.733kPa, 9.488±6.566kPa, 6.170±5.622kPa, compared with 2.722±1.596kPa, 1.929±1.122kPa, 1.918±1.175kPa of three normal patients. As can be shown from Fig. 2, fiber strains of three infracted patients are 0.424±0.028, 0.422±0.025, 0.431±0.028, compared with 0.439±0.018, 0.447±0.018, 0.447±0.017 of three normal patients.ConclusionsFiber stresses of infracted group are significantly higher than the normal one while there are no obvious distinctions of the figure of fiber strain between two groups.Support or Funding InformationThis research is supported in part by the Shenzhen Science and Technology Innovation Institution (China) Grant JCYJ20160427170536358 (Y Huo).This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.