ISBI 2006: IEEE 2006 International Symposium on Biomedical Imaging, April 6-9, 2006, Crystal Gateway Marriott, Arlington, Virginia, U.S.A.

Technical Program

Paper Detail

Paper:TH-PM-PS1.7
Session:MRI Reconstruction and Analysis
Time:Thursday, April 6, 15:20 - 16:40
Presentation: Poster
Title: MRSI Data Reconstruction with Generalized Sense
Authors: Yufang Bao; University of Miami 
 Andrew A. Maudsley; University of Miami 
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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