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Abstract #3503

A Novel Method in Functional Magnetic Resonance Imaging Analysis Based on Spatial Clustering

Sharon Chia-Ju Chen1, Chun-Chao Chuang2, Mei_Ling Su2, Yu-Ting Kuo1, Keh-Shih Chuang2

1Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan, Taiwan; 2Department of Biomedical Engineering and Environmental Sciences, National Tsing-Hua University, Hsin-Chu, Taiwan, Taiwan

In this study, we present a novel analytical method to detect brain activation using spatial clustering. Spatial clustering is determined by the correlation of each pixel with its nearest neighbors. Preliminary results show that the proposed method has larger area under the ROC curve compared to the SPM (statistical parametric mapping) and MTCA (modified temporal clustering analysis) methods in the detection of activated regions using simulated data. This method can detect activation area without prior information and regardless of the shape of the response function. Keywords: fMRI, spatial clustering analysis, spatial correlation