The use of technology in medical applications has expanded tremendously in the last 50 years, playing an important role in diagnosis and treatment of disease. As a consequence of this growth, it has been possible to develop new techniques and processes which allows scientists and physicians to extract potentially life-saving information by peering noninvasively into the human body. One of these techniques, Magnetic Resonance Imaging, has the capacity of providing data which contain information about motion of human tissue. In this project we exploit this characteristic to present a model for estimating left ventricular heart motion through a whole cardiac cycle. The model is based on the utilization of a non-rigid deformable mesh which tracks the intensity variations on the datasets of MRI images. The use of a mesh allows us to interpolate the motion on every point of the myocardial tissue. Although still in his first steps of development, preliminary results here presented demonstrate great potential of our model in terms of efficiency and flexibility versus the other existing models. It constitutes a good alternative for developing full 4D heart models in the future.
Projecte final de carrera realitzat en col.laboració amb l'Illinois Institute of Technology
