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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