Key result
A model generation interface was constructed to adjust parameters for left ventricular shape, cell orientation, and coronary arteries, enabling efficient evaluation of simulation models.
A novel interface for adjusting parameters in left ventricular motion models facilitates more efficient computational simulations of cardiac function.
Enables efficient LV model parameter tuning; extends computational tools but leaves open clinical validation and utility.
In the field of life science, a tremendous amount of quantitative data related to biological systems continues to accumulate. There are still many aspects of biological phenomena which are not fully analyzed, due to interaction between various phenomena and mechanisms. The simulation technique provides useful approaches to the analysis of such phenomena, in which the model describing the phenomenon and the model parameters are adjusted. Usually, however, simulation models for biological functions are very complex, and a tremendous amount of time is required in comprehensively adjusting the model and its parameters and then evaluating the simulation results. This study aims at construction of a model for the left ventricular motion, and considers the left ventricular shape model, the cell orientation model, and the coronary artery model as its components. An interface is constructed by which the above models and the model parameters can be adjusted. Using this interface, it is possible to evaluate the simulation model efficiently.
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Amano et al. (2007) studied Left ventricular motion simulation. Model generation interface was evaluated. A model generation interface was constructed to adjust parameters for left ventricular shape, cell orientation, and coronary arteries, enabling efficient evaluation of simulation models.
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