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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