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Achieving both high spatial and temporal resolution is desired in dynamic Magnetic Resonance Imaging (MRI), however, it is difficult to satisfy because of the slow scanning speed of MRI caused by physical and physiological limits. In order to guarantee the temporal resolution, the amount of acquired k-space data is usually reduced. In this paper, a novel method-patch learning-based dynamic MRI super-resolution...
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...
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