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Respiratory Noise Correction Using Phase Information

by H Cheng, Y Li
Proceedings 16th Scientific Meeting, International Society for Magnetic Resonance in Medicine ()


A new method, respiratory noise correction using phase information (RCP), was developed to reduce the respiratory signals in fMRI data. This method takes advantages of the respiration information in the phase signal of complex fMRI data and does not need extra data acquisition. It was demonstrated that the respiratory noise can be removed efficiently using this method. The new method is compared with RETROICOR and shows better performance when the respiration deviates from being quasi-periodic. This technique is useful for correcting respiratory noise from abnormal breathing.

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