Eric Y. Pierre1,
Nicole Seiberlich1, Vidya Nadig2, Mark A. Griswold3
1Biomedical
Engineering, Case Western Reserve University, Cleveland, OH, United States; 2Heart
and Vascular Center, MetroHealth Campus of Case Western Reserve University,
Cleveland, OH, United States; 3Radiology, Case Western Reserve
University, Cleveland, OH, United States
Dictionaries with spatial or temporal information shared with a target image are often used as a sparsifying transform to improve Compressed Sensing reconstruction results. However in accordance to Parallel Imaging principles, the coil sensitivity information within these dictionaries could also be directly exploited to reconstruct undersampled images with a light computational load. A new reconstruction scheme which exploits image-block dictionaries extracted from a calibration data is proposed. In vivo reconstruction results are shown for a dynamic cardiac experiment with radial acquisition accelerated by a factor 8.