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Abstract #5636

High Resolution T1 quantification from golden-angle radial 3D acquisitions.

Oliver Maier1, Matthias Schloegl1, Jasper Schoormans2, Bram Coolen2, Tobias Block3,4, Thomas Benkert3,4, Gustav Strijkers2, and Rudolf Stollberger1

1Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 2Department of Biomedical Engineering & Physics, Academic Medical Center, Amsterdam, Netherlands, 3Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York, NY, United States, 4Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States

A model-based reconstruction approach is presented that allows time efficient encoding of radial data for high resolution 3D T1 quantification e.g. (256x256x52, 1mm3, tscan=96s) by exploiting structural similarities in 3D and between different parameter maps. The proposed method employs a 3D TGV-Frobenius regularization to achieve high quality parameter maps from 3D VFA and 3D IRLL data. A dedicated reconstruction framework, consisting of an iteratively-regularized Gauss-Newton algorithm combined with a Primal-Dual splitting is employed to solve the optimization problem. Reconstructed parameter maps exhibit high SNR and no residual streaking artifacts while reconstructed T1 values agree well with reported values from literature.

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