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Abstract #4013

Classification of fMRI Study Participants Using Space-Filling-Curve Orderings of fMRI Brain Activation Maps

Unal Sakoglu1 and Lohit Ravi Teja Bhupati1
1Computer Engineering, University of Houston - Clear Lake, Houston, TX, United States

In this work, we develop a 3-D to 1-D ordering methodology for fMRI data, using a space filling curve, which is adaptive to brain's shape. We apply this ordering to fMRI activation maps from a schizophrenia study, compress the data, obtain features, and perform classification of schizophrenia vs normal controls. We compare the classification results with those of linear ordering, which has been the traditional method to convert the 3D fMRI data to 1D.

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