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Abstract #3244

Chemical shift optimized quantitative susceptibility mapping (csQSM)

Alexey V. Dimov 1,2 , Tian Liu 3 , Pascal Spincemaille 2 , Jacob S. Ecanow 4,5 , Huan Tan 6 , Robert R. Edelman 4,7 , and Yi Wang 1,2

1 Biomedical Engineering, Cornell University, Ithaca, NY, United States, 2 Radiology, Weill Cornell Medical College, New York, NY, United States, 3 MedImageMetric LLC, New York, NY, United States, 4 Radiology, NorthShore University HealthSystem, Chicago, IL, United States, 5 Radiology, University of Chicago Pritzker School of Medicine, Chicago, IL, United States, 6 Surgery (Neurosurgery), University of Chicago, Chicago, IL, United States, 7 Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States

Iterative decomposition of water and fat with echo asymmetry and least squares estimation (IDEAL) method can be used for estimation of the field distribution within the tissue of interest, which then may be processed for susceptibility estimation. However, errors in the assumed model of chemical spectrum of fat will propagate to the final susceptibility map as streaking artifacts. In the current research we propose an iterative algorithm that performs adjustment of the chemical shift value based on detected inconsistencies between estimated tissue structure and field map.

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