Abstract #5300

Where is Physiological Noise Lurking in $$$k$$$-Space?

Toni Karvonen^1,2, Arno Solin³, Ángel F. García-Fernández¹, Filip Tronarp¹, Simo Särkkä¹, and Fa-Hsuan Lin^4,5

¹Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland, ²Aalto NeuroImaging, Aalto University, Espoo, Finland, ³IndoorAtlas Ltd., Helsinki, Finland, ⁴Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan, ⁵Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland

We analyze the structure of physiological noise in the $$$k$$$-space of BOLD fMRI. We use DRIFTER which is an algorithm based on optimal Bayesian smoothing techniques for separation of the fMRI signal to a BOLD signal component and physiological noises. DRIFTER is run independently for each spatial frequency and it is shown that the physiological noise lies in the $$$k$$$-space points with low spatial frequency and that its amplitude is proportional to the BOLD signal. This result suggests that we can lower the computational burden without losing estimation accuracy by running DRIFTER only on a subset of $$$k$$$-space points.

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