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Abstract #3832

Mean-Shift Clustering Technique For fMRI Activation Detection

Leo Ai1 and Jinhu Xiong2

1University of Minnesota, Minneapolis, MN, United States, 2University of Iowa, Iowa City, IA, United States

It has been shown the application of Mean-Shift Clustering (MSC) to fMRI analysis can increase detection sensitivity in low contrast to noise situations. In this study, MSC was utilized with a feature space containing both temporal and spatial features to further increase its detection power. If successful, the proposed technique can improve detection in techniques that inherently have low CNR, such as non-proton fMRI or non-BOLD fMRI.

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