PILARS: Parallel Imaging with Large ARrays & Sinc-Interpolation

Shuo Feng¹, Jim Ji¹

Large arrays make it possible to use parallel imaging to significantly accelerate MR imaging speed. However, the need for auto calibration signals (ACS) limits the actual acceleration factors achievable with large arrays. This paper presents a novel method for parallel imaging with large arrays. The method uses Sinc kernels for interpolation that only requires one phase parameter to be estimated. Phantom experiments using a 64-channel system show that the new method provides higher acceleration factors, comparable reconstruction quality, and fast reconstruction speed.