Application of ICA-R algorithm in resting state fMRI

HU Ya-min; SUN Bing; DING Zhao-hua; CHANG Chun-qi

Journal of China Clinic Medical Imaging ›› 2014, Vol. 25 ›› Issue (3) : 153-157.

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Application of ICA-R algorithm in resting state fMRI

HU Ya-min1, SUN Bing1, DING Zhao-hua2, CHANG Chun-qi1

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Abstract

Objective: In order to facilitate the functional magnetic resonance imaging(fMRI) data processing using classical independent component analysis(ICA) method, ICA with reference(ICA-R) algorithm is proposed to reduce the computational load and to increase calculating efficiency. Methods: The signal amplitude information of the default network is introduced to ICA-R algorithm as a reference signal to investigate the orientation of activation in the resting state fMRI data. Results: Experiments with synthetic signals and real fMRI data demonstrate the efficacy and accuracy of the proposed algorithm. Conclusion: ICA-R algorithm could overcome the weakness of inefficiency of classical ICA method.

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Brain / Magnetic resonance imaging

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HU Ya-min;SUN Bing;DING Zhao-hua;CHANG Chun-qi. Application of ICA-R algorithm in resting state fMRI[J]. Journal of China Clinic Medical Imaging. 2014, 25(3): 153-157