MRSI data reconstruction with generalized sense

Yufang Bao, Andrew A Maudsley

1 Scopus citations

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.

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Bao, Y., & Maudsley, A. A. (2006). MRSI data reconstruction with generalized sense. In 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (Vol. 2006, pp. 25-28). [1624843]