Partial Fourier Compressed Sensing

Mariya Doneva¹, Peter Brnert², Holger Eggers², Alfred Mertins¹

This work considers an extension of the frequently used partial Fourier imaging to a combination with compressed sensing and parallel imaging. The sampling pattern and the reconstruction have been adjusted to allow a combined multi-coil partial Fourier compressed sensing reconstruction, which could benefit from the different fast imaging methods, potentially achieving even higher acceleration factors. The basic feasibility of the proposed method has been demostrated on in vivo brain data.