Modeling And Simulation For 3D Ventricular Tissue Based On DT-MRI Data

Into the post-genome age, the simulation of the physiological activities of the human heart and the study about the mechanism of the heart based on the computational models have become a new hot research area. Researchers simulated the physiological activities of heart in order to study its electrophysiological mechanism and the way how micro-physiological, pathological changes of cell affect its physiological function. With development of the experimental data, various model of heart has built, such as cell model, fiber model, tissue model and organ model. But none of them can simulate the real 3D structure and the function of heart.In this paper, we focused on electrophysiological characteristics of ventricular cells. First, a linear classification method was proposed based on the linear relationship between the rotation angle of the muscle fibers and ventricular cell types. Second, it was used to sort all the ventricular cells and construct the 3D anatomical structure of ventricular tissue using the DT-MRI imaging data. Third, the ventricular 3D model for simulation of heart electrophysiological activities was built based on the Ten Tusscher model of ventricular cell and the 3D ventricular anatomical structure. In the end, the model was used to simulate pseudo-ECG under various conditions. The simulation results showed that: the pseudo-ECG is similar to the clinical ECG in morphology, the Q-T interval, QRS-wave direction and ST direction under the same condition such as Brugada LQT and SQT. Therefore the proposed classification method and the ventricular 3D model were both proved to be valid, and they can be applied in the researches on cardiac physiology and pathology related issues as a new reliable way in the heart disease research field.