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Abstract #3257

QSM streaking suppression with L1 data fidelity terms

Carlos Milovic1,2,3, Mathias Lambert1,2,3, Christian Langkammer4, Kristian Bredies5, Cristian Tejos1,2,3, and Pablo Irarrazaval1,2,3
1Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 2Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, 3Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, 4Department of Neurology, Medical University of Graz, Graz, Austria, 5Institute of Mathematics and Scientific Computing, University of Graz, Graz, Austria

L2-norm based data fidelity terms in QSM functionals account for Gaussian noise in the phase or complex domain. These approaches are not robust against phase inconsistencies, such as artifacts from previous steps, intra-voxel dephasing, etc. To deal with these errors and to suppress streaking artifacts we present L1-norm algorithms that correct for salt-and-pepper noise. We use simulations and in-vivo acquisitions to show their streaking suppression capabilities. Furthermore, L1 methods do not require magnitude information, and they were able to achieve similar results without ROI masks. This may facilitate susceptibility studies of cortical areas and regions outside the brain.

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