Meeting Banner
Abstract #3356

cardioX: Short-Time Localized Sliding Estimate of Cardiac Component for Physiological Noise Removal in fMRI

Christine Law1

1University of Oxford, Oxford, Oxfordshire, United Kingdom

The conventional technique for physiological noise reduction in fMRI uses Fourier analysis over long duration usually spanning the entire record. We propose, instead, a sliding window technique (cardioX) that more closely approximates the cardiac component variation over the short term. CardioX removes more cardiac energy in its frequency band than the coventional method.

Keywords

according account acquisition adjacent aliased aliasing allows ambiguity applied approximated approximates assumption audience basically basis calculation cardiac carried channel closely coefficient coefficients coil collected common complete component components comprises comprising content contribution correction cosine cycle cycles depending desirable developed differencing duration energy entire estimating even every finally finger fitting fluctuation formed frequency functions general glover heart holds identified imposed increment index induced instead journal length like local localized long longer matrices matrix minimization minimized mitigate much multiplication neuronal next noise norm novel often optimization oxford particular peaks period periodic periods physiological physiology pixel prevent processed propose proposed pulsation quasi record reduces reduction related relaxes removal remove removed removes reorders repeating repetition requires researchers respect respiratory resting scanner series short sine skinny slice slid sliding solution spanning spectral stacking stationary subject subtracting synchronized taken target term terms timing trigger typically unknown utilizing validate variation varying vector wave waveform ways whose window windowed