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Abstract #2599

MEDI-d: Downsampled Morphological Priors for Shadow Reduction in Quantitative Susceptibility Mapping

Alexandra Grace Roberts1,2, Pascal Spincemaille2, Thanh Nguyen2, and Yi Wang2,3
1Electrical and Computer Engineering, Cornell University, Ithaca, NY, United States, 2Radiology, Weill Cornell, New York, NY, United States, 3Biomedical Engineering, Cornell University, Ithaca, NY, United States

Morphology Enabled Dipole Inversion (MEDI) is an iterative reconstruction algorithm for Quantitative Susceptibility Mapping (QSM) that is effective in suppressing streaking artifacts by exploiting the magnitude image as a morphological prior. However, contiguous areas of dipole incompatibility (such as noise) induce shadow artifacts whose spatial frequency components are not adequately regularized by the gradient based regularization in MEDI. Here, we show the feasibility of adding a downsampled morphological prior to suppress these shadow artifacts.

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