An Image Domain Low Rank Model for Calibrationless Reconstruction of Images with Slowly Varying Phase

Calibrationless constrained reconstruction methods employing low-rank models have attracted recent attention due to their high accuracy and sampling flexibility. Recently, k-space-based methods LORAKS and P-LORAKS were proposed for calibrationless reconstruction of images with slowly varying phase from single-channel and multi-channel parallel imaging data. For the same settings, we propose an image-domain locally low rank model to exploit slow phase variation. The model can be used to augment other image-domain constrained reconstruction models to exploit slow phase variation with little overhead.

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