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Abstract #0290

Accelerated Free-Breathing Liver Fat/R2* Quantification in Pediatrics Using XD-GRASP Multi-Echo Stack-of-Radial MRI: A Retrospective Study

Xiaodong Zhong1, Aaryani Tipirneni-Sajja2, Marcel Nickel3, Cara Morin4, Zachary Abramson5, Fei Han6, Vibhas Deshpande7, and Stephan Kannengiesser3
1Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 2Biomedical Engineering, University of Memphis, Memphis, TN, United States, 3MR Application Predevelopment, Siemens Healthineers AG, Erlangen, Germany, 4Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 5Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, TN, United States, 6MR R&D Collaborations, Siemens Medical Solutions USA, Inc, Los Angeles, CA, United States, 7MR R&D Collaborations, Siemens Medical Solutions USA, Inc, Austin, TX, United States

Synopsis

Keywords: Body, Liver, Fat and iron quantification

Motivation: Free-breathing liver fat and iron quantification is of growing interest in pediatric patients. However, motion compensation is necessary for quantification accuracy, resulting in prolonged acquisition times.

Goal(s): This study was to retrospectively evaluate a newly developed technique with XD-GRASP reconstruction in pediatric patients.

Approach: Data with oversampled k-space radial views were undersampled to fewer radial views. All data were reconstructed and compared between a self-gating method and the proposed XD-GRASP method.

Results: When applied to data with undersampled radial views, the proposed XD-GRASP method reduced image artifacts and improved PDFF and R2* results compared to the self-gating method.

Impact: The proposed multi-echo stack-of-radial MRI method using motion-resolved reconstruction and multi-dimensional regularization may allow accelerated free-breathing liver PDFF and R2* mapping in pediatric patients.

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Keywords