Reconstruction of under-sampled Propeller gradient-echo image using projection onto convex sets based multiplexed sensitivity-encoding (POCSMUSE)

Abstract

The Propeller technique is a useful acquisition scheme and reconstruction method to reduce motion artifact. However, the higher specific absorption rate (SAR) of RF pulse at high-field magnetic strength can limit the number of multiple slices for a given TR, which in turn reduces the efficiency of acquisition, especially for Propeller-FSE sequence. A possible solution is to reduce the echo-train-length with under-sampling of data of each blade. In this study, we propose to apply POCSMUSE instead of SENSE reconstruction and Propeller reconstruction, to reconstruct the image from all under-sampled blade data with reduced noise amplification. The data acquired from brain and liver using Propeller-GRE will be used to test purposed POCSMUSE algorithm.