JSM 2004 - Toronto

Abstract #301790

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Activity Number: 27
Type: Contributed
Date/Time: Sunday, August 8, 2004 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #301790
Title: A Complex Data Method to Compute fMRI Activation
Author(s): Daniel B. Rowe*+ and Brent R. Logan
Companies: Medical College of Wisconsin and Medical College of Wisconsin
Address: Department of Biophysics , Milwaukee, WI, 53226,
Keywords: fMR ; MRI ; neuroimaging ; brain activation ; functional imaging
Abstract:

In functional magnetic resonance imaging, Fourier "image reconstruction" results in complex valued proton spin densities that make up our voxel time course observations. The complex part of the proton spin density is a result of phase errors due to magnetic field unhomogeneities. Nearly all fMRI studies obtain a statistical measure of functional "activation" based on magnitude image time courses. However, the image information is contained in both the real and imaginary parts or in the magnitude and phase. A more accurate model should use the correct distributional specification and all the information contained in the data. A model is presented that uses the original complex form of the data and not just the magnitude. While the two are equivalent for high signal-to-noise ratios, the additional data used to estimate the complex model parameters results in improved poser for low signal to noise ratios.

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Revised March 2004