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Abstract #0292

Metal Artifact Reduction using Slice Encoding with Shear Correction

Pauline Wong Worters1, Kim Butts Pauly1, Brian A. Hargreaves1

1Stanford University, Stanford, CA, USA

Slice Encoding for Metal Artifact Correction (SEMAC) is a robust method for resolving spatial distortion of tissue around metal in MRI. This method, as well as an alternative hybrid MAVRIC sequence, uses View-Angle Tilting (VAT) to correct for distortion in the readout direction. However, VAT imposes timing limitations in order to reduce blurring due to the RF profile. In this work, a shear post-processing method is proposed to replace VAT to correct for readout distortions. Shear correction allows for longer readout acquisitions (e.g., by using a lower readout bandwidth) and avoids the timing limitations imposed by VAT, while maintaining effective artifact correction.