Abstract #2785
Multi-center, Multi-vendor evaluation of quantitative susceptibility mapping for quantification of liver iron
Collin J. Buelo1,2, Ruiyang Zhao1,2, Julia V. Velikina1, Steffen Bollmann3, Ante Zhu4, Qing Yuan5, Mounes Aliyari Ghasabeh6, Stefan Ruschke7, Dimitrios C. Karampinos7, David T. Harris1, Ryan J. Mattison8, Michael R. Jeng9, Ivan Pedrosa5, Ihab R. Kamel5, Shreyas Vasanawala10, Takeshi Yokoo5,11, Scott B. Reeder1,2,8,12,13, and Diego Hernando1,2
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 33School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia, 4GE Global Research, Niskayuna, NY, United States, 5Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 6Radiology, The Johns Hopkins University, Baltimore, MD, United States, 7Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany, 8Medicine, University of Wisconsin-Madison, Madison, WI, United States, 9Pediatrics - Hematology & Oncology, Stanford University, Palo Alto, CA, United States, 10Radiology, Stanford University, Palo Alto, CA, United States, 11Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 12Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 13Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States
Synopsis
Quantitative susceptibility mapping (QSM) of the liver is an emerging method to quantify liver iron concentration (LIC). Multiple new methods have recently been introduced for QSM in the liver. These methods include CobraChi, a deep learning-based method, as well as an L2-optimization based method. This work evaluates the performance of these liver QSM methods across multiple centers and MRI vendors.
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