This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Abstract - #308147
Title: WITHDRAWN: Improving Clinical Utility of Physiologic MRI
Author(s): John Kornak and Karl Young and Ying Lu and Norbert Schuff and Jeff Kasten and Mike Weiner
Keywords: MRI ; K-Bayes ; Bayesian Image Analysis ; k-space ; reconstruction ; DFT

A statistical procedure (K-Bayes) is presented for the improved reconstruction of physiological Magnetic Resonance Imaging (MRI) of the brain: specifically, perfusion MRI for measuring blood perfusion levels and magnetic resonance spectroscopic imaging for quantifying multiple metabolite levels. K-Bayes improves image quality and spatial resolution while overcoming inherent limitations of conventional discrete Fourier transform (DFT) based reconstruction: Gibbs ringing, partial voluming and aliasing. K-Bayes achieves these improvements by 1) using high-resolution anatomical prior information from structural MRI to provide constraints for the physiological MR process; and 2) simultaneously relating the physiological image to be reconstructed to the sampled data points in k-space (frequency space). K-Bayes reconstruction leads to more accurate and precise measurements in individual brain r

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