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Abstract #0069

Quantitative Susceptibility Mapping using a Multi-spectral ARMA Model for Assessment of Hepatic Iron Overload

Aaryani Tipirneni-Sajja1,2, Ralf Berthold Loeffler2,3, Jane Hankins4, and Claudia Maria Hillenbrand2,3
1Biomedical Engineering, University of Memphis, Memphis, TN, United States, 2Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, United States, 3Research Imaging NSW, University of New South Wales, Sydney, Australia, 4Hematology, St. Jude Children's Research Hospital, Memphis, TN, United States

Hepatic iron content (HIC) assessment by R2*-MRI can be confounded by co-existing fibrosis. Instead, quantitative susceptibility mapping (QSM) techniques could be used to assess iron content without being affected by fibrosis. In this study, we demonstrated that the field maps generated from a multi-spectral auto regressive moving average (ARMA) model can be used in conjunction with QSM techniques to measure magnetic susceptibility, as a predictor for HIC.

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