Meeting Banner
Abstract #5300

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

Toni Karvonen1,2, Arno Solin3, Ángel F. García-Fernández1, Filip Tronarp1, Simo Särkkä1, and Fa-Hsuan Lin4,5

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here