Abstract #3661

Ying L, Xu D, Liang Z

This paper presents a model-based dynamic imaging method with time-sequential sampling in k-t space using phased array coils. The temporal signal variations of the dynamic object function are absorbed in the temporal basis functions while the spatial signal variations are incorporated in the series coefficients. Parallel data acquisition is used to improve the frame rate, thus reducing potential model fitting error. 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.