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Abstract #3264

Background Field Removal at the Boundary

Sarah Eskreis-Winkler 1 , Pascal Spincemaille 2 , Dong Zhou 2 , Tian Liu 3 , and Yi Wang 2

1 Radiology, Weill Cornell Medical College, New York, NEW YORK, United States, 2 Weill Cornell Medical College, New York, New York, United States, 3 MedImageMetric, LLC, New York, New York, United States

Background field removal is a key step in the QSM algorithm. Current methods perform well in the interior of the ROI, but can be corrupted by error at the boundary. To improve local field estimation at the boundary, we present iPDF, an iterative version of Project onto Dipole Fields (PDF). In our phantom data, iPDF shows reduced error at the boundary. Similar patterns are seen in vivo.

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