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Abstract #3083

Adaptive Slice Encoding for Metal Artifact Correction

Brian A. Hargreaves1, Garry E. Gold1, John M. Pauly2, Kim Butts Pauly1

1Radiology, Stanford University, Stanford, CA, United States; 2Electrical Engineering, Stanford University, Stanford, CA, United States

Slice encoding for metal artifact correction (SEMAC) excites 2D slices, then uses a 3D encoding to resolve the distortion of slices due to large metal-induced susceptibility shifts. The addition of a simple, fast spectral prescan easily estimates the extent of this distortion, allowing the slab width and encoded field-of-view to be adapted to the subject. This, allows the total number of excited slices to be greatly reduced without diminishing final image quality, thus offering a substantial reduction in SEMAC scan time.