Minimal Artifact Factor SENSE

Johannes M. Peeters¹, Miha Fuderer¹

In this work, an extension of the SENSE parallel imaging framework is proposed. In this new framework called Minimal Artifact Factor SENSE (MAF-SENSE), also artifact probability due to incorrect knowledge of the receiver coil sensitivities is taken into account. The latter is realized by adding an uncertainty in this knowledge in order to enable weighting of residual artifact level and SNR in the inversion problem. Results show that MAF-SENSE is well capable of removing residual aliasing artifacts caused by usage of incorrect receiver coil sensitivities.