Combining SENSE and compressed sensing MRI With a fast iterative contourlet thresholding algorithm

摘要

We present a new method to improve the performance of the combination of sensitivity encoding (SENSE) and compressed sensing (CS) based on the fast iterative contourlet thresholding algorithm (FICOTA). The proposed method, dubbed as FICOTA-SENSE, separates FICOTA reconstruction and SENSE reconstruction into two sequential steps and successfully inherits the effectiveness of FICOTA. Experimental results validate that FICOTA-SENSE can provide superior performance on reconstruction quality and representation of curve-like features.