Image reconstruction of dynamic MRI based on adaptive motion estimation

In recent years, dynamic MRI plays a crucial role in dynamic clinical studies. Since there are significant correlations in temporal dimension, the methods of making full use of the redundancy between frames have been widely concerned. In order to improve under-sampled rate in k-space, an effective way is to borrow the thoughts of motion estimation from video compression coding. This paper aims at improving under-sampled rate and image quality through the technique of motion estimation and motion compensation. Based on the conception of motion vector prediction and multiple reference frames, a technique of adaptive size for block matching is proposed. Then the non-sampled frames can be reconstructed through interpolation. For the sake of clarity, this paper only focus on the cases with single receiver coil, but it can also be applied to the cases with multiple receiver coils.