Adaptive Slice Encoding for Metal Artifact Correction

Introduction: Metallic implants can cause moderate or severe distortion artifacts in MR images depending on the shape, size, composition and orientation of the implant. Recentlyproposed methods correct image distortion due to susceptibility shifts near metallic implants by using excitation of limited bandwidths [1] or limited spatial slices [2], both followed by 3D imaging. Here we demonstrate “adaptive SEMAC,” where the acquisition is adaptively prescribed based on the extent of metalinduced frequency shifts, greatly improving acquisition efficiency.