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Abstract #4169

T2-Shuff-LL: Multi-contrast 3D Shuffling Combining Fast Spin-Echo and Look-Locker Gradient Echo

Jonathan Tamir1,2,3, Ken-Pin Hwang4, Naoyuki Takei5, and Suchandrima Banerjee6
1Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, United States, 2Diagnostic Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX, United States, 3Oden Institute for Computational Engineering and Sciences, Austin, TX, United States, 4Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 5MR Applications and Workflow, GE Healthcare, Hino, Tokyo, Japan, 6MR Applications and Workflow, GE Healthcare, Menlo Park, CA, United States

Fast, volumetric multi-contrast and quantitative imaging has a broad range of applications, but applying them in 3D remains challenging. Most volumetric approaches rely on gradient-echo-based acquisitions to achieve high scan-efficiency, even though spin-echo imaging provides higher SNR. Here we explore a hybrid acquisition that combines a fast-spin-echo acquisition block with multiple spoiled gradient-echo blocks to acquire spin- and gradient-echo images. We use a shuffled acquisition ordering together with a global subspace constraint and local low rank regularization to accelerate the scan. Following reconstruction, we fit the time series of images to quantitative parameters directly in the subspace using dictionary matching.

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