Meeting Banner
Abstract #2359

MEDI-FM: Field Map Error Guided Regularization for Shadow Reduction

Alexandra Grace Roberts1, Pascal Spincemaille2, Thanh Nguyen2, and Yi Wang2,3
1Electrical and Computer Engineering, Cornell University, Ithaca, NY, United States, 2Radiology, Weill Cornell Medicine, 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 sufficiently regularized by the gradient based regularization in MEDI. Regularizing these spatially connected regions reduces shadow artifacts in Morphology Enabled Dipole Inversion based Quantitative Susceptibility Mapping reconstructions.

This abstract and the presentation materials are available to members only; a login is required.

Join Here