Dynamic MRI using spatiotemporal modeling with phased array coils
This paper presents a model-based dynamic MRI method with time-sequential sampling in k-t space using phased array coils, The temporal variation of the dynamic object is modeled as a superposition of motion elements while the spatial variation is captured by the series coefficients, thereby converting the dynamic imaging problem to a parameter identification problem. Parallel data acquisition using phased array coils is used to balance k-space and time-domain undersampling. Simulations based on experimental cardiac data are carried out, which show that the proposed method can reconstruct motion artifacts-free images with very high spatiotemporal resolution