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Abstract #1217

Free-Breathing Water, Fat, and Iron Quantification in the Abdomen Using Radial Multi-Echo Acquisition and Respiratory-Resolved Model-Based Reconstruction

Manuel Schneider1, Thomas Benkert2, Eddy Solomon3,4, Dominik Nickel2, Matthias Fenchel5, Berthold Kiefer2, Andreas Maier1, Hersh Chandarana3,4, and Kai Tobias Block3,4

1Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, 2MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 3Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States, 4Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 5MR R&D Collaborations, Siemens Medical Solutions, New York, NY, United States

A novel method for free-breathing fat/iron quantification with integrated R2* correction is presented, which is based on radial stack-of-stars 3D GRE acquisition with multiple echoes. An iterative model-based approach with TV as sparsifying transformation is used for the reconstruction. Results from full k-space data, retrospectively undersampled data, and motion-resolved processing are compared to a Cartesian reference technique in 5 clinical patients. The proposed method provides comparable results while eliminating the requirement to perform acquisitions during breath-holding, which poses a significant advantage for patients with reduced breath-hold capability such as pediatric, sick, or elderly patients.

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