Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work,  propose to estimate rule-based myocardial fiber model (RBM) parameters from measured image data, with the goal of personalizing the fiber architecture for cardiac simulations.  first describe the RBM, which is based on a space-dependent angle distribution on the heart surface and then extended to the whole domain through an harmonic lifting of the fiber vectors.  then present a static Unscented Kalman Filter which  use for estimating the degrees of freedom of the fiber model.  illustrate the methodology using noisy synthetic data on a real heart geometry, as ll as real DT-MRI-derived fiber data.  also show the impact of different fiber distributions on cardiac contraction simulations.
['Andreas Nagler', 'Cristóbal Bertoglio', 'Michael W. Gee', 'Wolfgang A. Wall']
I am writing a research paper on a idea Personalization of cardiac fiber orientations from image data using the unscented kalman filter
[{"from": "human", "value": "I am writing a research paper on a idea Personalization of cardiac fiber orientations from image data using the unscented kalman filter"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work,  propose to estimate rule-based myocardial fiber model (RBM) parameters from measured image data, with the goal of personalizing the fiber architecture for cardiac simulations.  first describe the RBM, which is based on a space-dependent angle distribution on the heart surface and then extended to the whole domain through an harmonic lifting of the fiber vectors.  then present a static Unscented Kalman Filter which  use for estimating the degrees of freedom of the fiber model.  illustrate the methodology using noisy synthetic data on a real heart geometry, as ll as real DT-MRI-derived fiber data.  also show the impact of different fiber distributions on cardiac contraction simulations."}]