Toward Clinically Applicable Highly-Accelerated SENSE

Feng Huang¹, Yunmei Chen², Xiaojing Ye², Wei Lin¹, Yu Li¹, Arne Reykowski¹

Recently, many advanced technologies have been proposed to improve the quality of images reconstructed by SENSE with high acceleration factors. However, success of these methods needs one or more following conditions: long reconstruction time, special acquisition trajectory, or expertise on parameter choice. These requirements have hindered their clinical applicability. In this work, a novel technique based on variable splitting is proposed to tackle these problems. Mathematical proof and experimental results demonstrate that the proposed method significantly improves the clinical applicability of highly-accelerated SENSE because of low reconstruction error, fast reconstruction, insensitivity to the choice of parameters, and regular Cartesian trajectory