Abstract
Respiration effects and cardiac pulsatility can induce signal modulations in functional MR image time series that increase noise and degrade the statistical significance of activation signals. A simple image-based correction method is described that does not have the limitations of k-space methods that preclude high spatial frequency correction. Low-order Fourier series are fit to the image data based on time of each image acquisition relative to the phase of the cardiac and respiratory cycles, monitored using a photoplethysmograph and pneumatic belt, respectively. The RETROICOR method is demonstrated using resting-state experiments on three subjects and compared with the k-space method. The method is found to perform well for both respiration- and cardiac-induced noise without imposing spatial filtering on the correction. Magn Reson Med 44:162-167, 2000.
Keywords
Noise (video)Computer scienceSIGNAL (programming language)Image (mathematics)PhotoplethysmogramCommunication noiseArtificial intelligenceComputer visionPattern recognition (psychology)Filter (signal processing)
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Publication Info
- Year
- 2000
- Type
- article
- Volume
- 44
- Issue
- 1
- Pages
- 162-167
- Citations
- 2038
- Access
- Closed
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Cite This
Gary H. Glover,
Tie‐Qiang Li,
David Ress
(2000).
Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR.
Magnetic Resonance in Medicine
, 44
(1)
, 162-167.
https://doi.org/10.1002/1522-2594(200007)44:1<162::aid-mrm23>3.0.co;2-e
Identifiers
- DOI
- 10.1002/1522-2594(200007)44:1<162::aid-mrm23>3.0.co;2-e