JSM 2005 - Toronto

Abstract #302381

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 5
Type: Invited
Date/Time: Sunday, August 7, 2005 : 2:00 PM to 3:50 PM
Sponsor: Institute of Statistical Science, Academia Sinica
Abstract - #302381
Title: Wavelet Statistics for PET and fMRI
Author(s): John A. D. Aston*+ and Roger N. Gunn and Rainer Hinz and Federico E. Turkheimer
Companies: Institute of Statistical Science, Academia Sinica and GlaxoSmithKline and IRSL and Imperial College
Address: , Taipei, International, 115, Taiwan
Keywords: Wavelets ; Variance Estimation ; PET ; fMRI ; Brain Imaging
Abstract:

Neuroimaging studies place great emphasis on not only the estimation but also the standard error estimates of underlying parameters derived from a temporal model. It often can be advantageous to interrogate temporal models after spatial transformation of the data into the wavelet domain. Wavelet bases provide a multiresolution decomposition of the spatial data dimension and an ensuing reduction in spatial correlation. However, widespread acceptance of these wavelet techniques has been hampered by the limited ability to reconstruct both parametric and error estimates into the image domain after the analysis of the temporal models in the wavelet domain. A derivation and a fast implementation of a method for the calculation of the variance of the parametric images obtained from wavelet filters will be introduced in this talk. The techniques are demonstrated for both functional Magnetic Resonance Imaging and Positron Emission Tomography datasets and are applicable to a range of temporal models commonly used in these modalities.

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Revised March 2005