Metal Artifact Reduction using Slice Encoding with Shear Correction

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

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.