Parallel Generalized Series Imaging

Z. Liang, A. Stenger, J. X. Ji, J. Ma, F. Boada University of Illinois at Urbana-Champaign, Urbana, IL, United States, University of Pittsburgh Medical Center, Pittsburgh, PA, United States, University of Texas MD Anderson Cancer Center, Houston, TX, United States SYNOPSIS Many imaging applications require collecting a time series of images. Conventional methods acquire these images independently, leading to a trade-off between spatial and temporal resolution. To address this problem, this paper presents a novel algorithm to integrate generalized series imaging with parallel imaging using multiple receiver coils. Experimental results from contrast-enhanced MRI studies demonstrate that the proposed algorithm can produce high-quality dynamic images with large acceleration factors.