Off-Resonance Artifact Correction with Convolution in K-Space (ORACLE)

Wei Lin¹, Feng Huang¹, George R. Duensing¹, Arne Reykowski¹

A rapid off-resonance artifact correction method is proposed based on data convolution in k-space (ORACLE). The acquired k-space is divided into segments based on their readout time, and a convolution kernel is applied to each segment to render artifact-free data. ORACLE does not require a separate B0 mapping scan, therefore reducing the scan time and eliminating the need to align the B0 map with the actual imaging data. Phantom and in vivo brain scans demonstrate the successful application to radial, spiral and EPI datasets.