Parallel Imaging by Multi-Band Spatiotemporal Encoding and a Combined Super-Resolved / SENSE Reconstruction

Rita Schmidt¹, Bikash Baishya¹, Noam Ben-Eliezer², Amir Seginer¹, Lucio Frydman¹

Recent studies described the potential of single shot methods based on spatiotemporal encoding (SPEN) principles. SPEN displays a higher robustness to frequency offsets. An important step still needed to endow SPEN scanning involves incorporating into the sequence the parallel imaging capabilities without compromising the achievements of the SPEN super resolution reconstruction. The present work demonstrates the use of multi-band chirp pulses, to simultaneously encode multiple partial field-of-views. This approach is combined with a super-resolved SENSE-based method to reconstruct the full FOV image. The performance of the scanning and the reconstruction was explored in phantoms and in human imaging at 3T.