Phase image artifact reduction through interpolation
Saifeng Liu 1 , Sagar Buch 1 , and E. Mark Haacke 1
School of Biomedical Engineering, McMaster
University, Hamilton, Ontario, Canada
The accuracy of quantitative susceptibility mapping is
dependent on the background phase removal. When regions
with unreliable phase values are included in the phase
image, e.g. vessels without proper flow compensation or
bones with noisy phase, a simple background phase
removal may amplify phase noise or create edge
artifacts. In this study, we show a method to reduce the
phase artifacts that are caused by the inclusion of
noisy regions with unreliable phase values, in order to
improve the accuracy of QSM.
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