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Abstract #1091

QRAGE - Multi-Echo MPnRAGE and Model-Based Reconstruction for Quantitative MRI of Water Content, T1, T2* and Magnetic Susceptibility at 7T

Markus Zimmermann1, Zaheer Abbas1, Yannic Sommer1, Alexander Lewin1, Shukti Ramkiran1, Ana-Maria Oros-Peusquens1, Seong Dae Yun1, and N. Jon Shah1,2,3,4
1Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany, Jülich, Germany, 2Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Germany, Jülich, Germany, 3JARA - BRAIN - Translational Medicine, Aachen, Germany, Aachen, Germany, 4Department of Neurology, RWTH Aachen University, Aachen, Germany, Aachen, Germany

Synopsis

Keywords: Sparse & Low-Rank Models, Image Reconstruction, Brain, Relaxometry, Quantitative Susceptibility mappingThe development of fast, accurate, and robust methods for multiparametric quantitative MRI (qMRI) at ultrahigh field strength remains an important topic of research. Here, we present a novel qMRI technique for the simultaneous quantification of water content, T1, T2*, and magnetic susceptibility, termed QRAGE. The proposed method combines a highly undersampled multi-echo MPnRAGE sequence with a model-based reconstruction approach. It acquires 171 different contrasts with full brain coverage and 1 mm isotropic resolution within 7:20 min from which the parametric maps are estimated. The accuracy and precision of QRAGE are demonstrated by comparison to gold-standard reference methods.

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