Low-rank plus sparse compressed sensing for accelerated proton resonance frequency shift MR temperature imaging.

The complex difference-based low rank and sparse model enhances compressibility for dynamic PRF temperature imaging applications. The proposed multichannel CS reconstruction method enables high acceleration factors for PRF applications including RF heating evaluation and MRgFUS sonication.