Patients with silicone breast implants undergoing MR mammography are examined with a water- and fat-suppressed sequence to verify the implant’s integrity. In parallel, chemical shift encoding-based water–fat separation has been recently used for quantifying breast water-fat composition to assess breast density and for extracting magnetic susceptibility maps to detect breast calcifications. In this work, a water–fat–silicone separation method is developed for a joint estimation of all three components and applied with NSA-optimized echo times to simulated single-voxel data, scanner phantom and in vivo data showing robust species separation and fat fraction mapping.
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