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Abstract #0463

Unsupervised Correction of Sub-TR Physiological Noise using Phase and Magnitude fMRI data

David Bancelin1, Beata Bachrata1,2, Pedro Lima Cardoso1, Siegfried Trattnig1,2, and Simon Daniel Robinson1,3,4
1High-Field MR Centre, Medical University of Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 3Department of Neurology, Medical University of Graz, Graz, Austria, 4Centre for Advanced Imaging, University of Queensland, Queensland, Australia

External physiological recordings can be used to filter out cardiac and respiration fluctuations in fMRI data but these can be unreliable. We propose an unsupervised method which derives physiological noise regressors, including cardiac fluctuations with a period much less than the volume TR, from phase and magnitude fMRI data. We compare its efficacy with a correction method which uses external recordings (RETROICOR), and a rival physiological data-free method (PESTICA).

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