A new approach to dynamic magnetic resonance imaging by object modeling

Presents a novel dynamic magnetic resonance imaging method using object modeling and estimation. This method models the object by a time-varying function, thus converting the dynamic imaging problem to a parameter identification problem. Experimental results demonstrate that this method is able to produce time-sequential images from a time-varying object with high temporal and spatial resolution, opening up many new applications for MR imaging, such as three-dimensional high-resolution cardiac imaging.