Abstract #3574

Xu D, Liang Z, Wu Y, Hitchens T, Ho C

Dynamic MRI of myocardial perfusion is a useful tool for assessing physiological conditions of the cardiac tissues (e.g., tissue rejection following heart transplantation). However, because of cardiac motion and the limited data acquisition speed of the existing MRI techniques, it has been very difficult to acquire dynamic images in very high spatiotemporal resolution. To address this problem, this paper presents a new generalized-series model-based imaging method. This method decouples the acquisition of the steady-state component of the desired dynamic object function from the transient component, and uses the steady-state component to build the basis functions to constrain the reconstruction of the object function, making it possible to obtain high spatial and temporal resolution simultaneously. The proposed method has been validated using experimental data, which produce excellent results with only 8 dynamic encodings per temporal frame.