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Abstract #0869

TGV-Regularized Single-Step Quantitative Susceptibility Mapping

Itthi Chatnuntawech1, Patrick McDaniel1, Stephen F. Cauley2,3, Borjan A. Gagoski3,4, Christian Langkammer5, Adrian Martin6, Ellen Grant3,4, Lawrence L. Wald2,3,7, Kawin Setsompop2,3, Elfar Adalsteinsson1,7,8, and Berkin Bilgic2

1Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 2Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 5Department of Neurology, Medical University of Graz, Graz, Austria, 6Applied Mathematics, Universidad Rey Juan Carlos, Madrid, Spain, 7Harvard-MIT Health Sciences and Technology, Cambridge, MA, United States, 8Institute for Medical Engineering and Science, Cambridge, MA, United States

To directly estimate tissue magnetic susceptibility distribution from the raw phase of a gradient echo acquisition, we propose a single-step quantitative susceptibility mapping (QSM) method that benefits from its three components: (i) the single-step processing that prevents error propagation normally encountered in multiple-step QSM algorithms, (ii) multiple spherical mean value kernels that permit high fidelity background removal, and (iii) total generalized variation regularization that promotes a piecewise-smooth solution without staircasing artifacts. A fast solver for the proposed method, which enables simple analytical solutions for all of the optimization steps, is also developed. Improved image quality over conventional QSM algorithms is demonstrated using the SNR-efficient Wave-CAIPI and 3D-EPI acquisitions.

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