JSM 2004 - Toronto

Abstract #302000

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Activity Number: 200
Type: Contributed
Date/Time: Tuesday, August 10, 2004 : 9:00 AM to 10:50 AM
Sponsor: ENAR
Abstract - #302000
Title: A Software to Automate Statistical Parametric Maps Analysis for PET Studies
Author(s): Manlong Rao*+ and Wei Zhu and Yeming Ma and Nora D. Volkow and Gene-Jack Wang
Companies: SUNY, Stony Brook and SUNY, Stony Brook and National Institutes of Health and National Institutes of Health and Brookhaven National Laboratory
Address: Dept of Applied Math and Statistics, Stony Brook, NY, 11794,
Keywords: SPM ; PET ; SPECT ; fMRI ; biostatistics ; software
Abstract:

Statistical parametric maps (SPM) is a customized statistical software for the analysis of brain image data (PET, SPECT, fMRI) developed by the Wellcome Department of Neuroscience in 1991. The SPM software is a suite of MatLab functions and subroutines built in a customized Windows environment. Images are first spatially normalized into a standard brain space and smoothed. Subsequently, the General Linear Model is applied to describe the variability in the data. However, to accomplish the analysis in the SPM interactive interface, one must enter tens and sometimes hundreds of parameters manually which is tedious, labor-intensive and extremely error-prone. To avoid these errors and facilitate the SPM analysis for, often repetitive, analysis of PET images, we have developed the SPM batch-mode software to accomplish the normalization and basic statistical analysis automatically. Required SPM input parameters are stored in one input Excel file and the output analysis results are stored in another excel file. The SPM batch-mode software also enabled us to implement a novel resampling method for the brain activation volumetric studies.

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