MRSI data reconstruction with Generalized SENSE

Yufang Bao, Andrew Maudsley

Abstract: The Generalized SENSE algorithm has previously been proposed to reconstruct high-resolution MRI data obtained using incomplete spatial sampling with multi-channel detection. In this report a modification of this algorithm is presented and applied to magnetic resonance spectroscopic imaging (MRSI) data. It is shown that this reconstruction method enables a decrease in data acquisition time to be obtained with minimal impact on image quality