Where is physiological noise lurking in k-space?

Toni Karvonen, Arno Solin, Angel Garcia Fernandez, Filip Tronarp, Simo Särkkä, Fa-Hsuan Lin

Research output: Contribution to conferencePosterProfessional

Abstract

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.
Original languageEnglish
Number of pages5
Publication statusPublished - 2017
MoE publication typeNot Eligible
EventInternational Society for Magnetic Resonance in Medicine Annual Meeting - Honolulu, United States
Duration: 22 Apr 201727 Apr 2017
Conference number: 25

Conference

ConferenceInternational Society for Magnetic Resonance in Medicine Annual Meeting
Abbreviated titleISMRM
CountryUnited States
CityHonolulu
Period22/04/201727/04/2017

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  • Projects

    Ultra-fast fMRI and fMRI-EEG methods for mapping hemodynamic…

    Särkkä, S.

    01/09/201631/12/2017

    Project: Academy of Finland: Other research funding

    Cite this

    Karvonen, T., Solin, A., Garcia Fernandez, A., Tronarp, F., Särkkä, S., & Lin, F-H. (2017). Where is physiological noise lurking in k-space?. Poster session presented at International Society for Magnetic Resonance in Medicine Annual Meeting, Honolulu, United States.