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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 language | English |
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Number of pages | 5 |
Publication status | Published - 2017 |
MoE publication type | Not Eligible |
Event | International Society for Magnetic Resonance in Medicine Annual Meeting - Honolulu, United States Duration: 22 Apr 2017 → 27 Apr 2017 Conference number: 25 |
Conference
Conference | International Society for Magnetic Resonance in Medicine Annual Meeting |
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Abbreviated title | ISMRM |
Country/Territory | United States |
City | Honolulu |
Period | 22/04/2017 → 27/04/2017 |
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- 1 Finished
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Ultra-fast fMRI and fMRI-EEG methods for mapping hemodynamic…
Särkkä, S. (Principal investigator) & Garcia Fernandez, A. (Project Member)
01/09/2016 → 31/12/2017
Project: Academy of Finland: Other research funding