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 Solomon^3,4, Dominik Nickel², Matthias Fenchel⁵, Berthold Kiefer², Andreas Maier¹, Hersh Chandarana^3,4, and Kai Tobias Block^3,4

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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