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Abstract #3327

On the influence of zero padding on the non linear operations of quantitative susceptibility mapping

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

1 Weill Cornell Medical College, New York, NY, United States, 2 Weill Cornell Medical College, New York, United States, 3 MedImageMetric, LLC, New York, United States

Zero padding is a well-studied interpolation technique that improves image visualization without increasing image resolution. Here, however, we demonstrate the unique effect of performing zero padding in conjunction with the nonlinear Quantitative Susceptibility Mapping (QSM) algorithm. We assess the effects of this combination by evaluating apparent spatial resolution, relative error and depiction of multiple sclerosis (MS) lesions on QSM.

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