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Abstract #4879

Toward Clinically Applicable Highly-Accelerated SENSE

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

1Invivo Corporation, Gainesville, FL, United States; 2Department of Mathematics, University of Florida, Gainesville, FL, United States

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