Journal
NEUROIMAGE
Volume 20, Issue 2, Pages 1411-1418Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/S1053-8119(03)00339-2
Keywords
fMRl; brain movement; motion detector; k-space data
Funding
- NIDA NIH HHS [K24 DA16170] Funding Source: Medline
- PHS HHS [1R01 61427-01] Funding Source: Medline
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Functional MRI studies are very sensitive to motion; head movements of as little as I-mm translations or V rotations may cause spurious signals. An algorithm was developed that uses k-space MRI data to monitor subject motion during functional MRI time series. A k-space weighted average of squared difference between the initial scan and subsequent scans is calculated, which summarizes subject motion in a single quality parameter; however, the quality parameter cannot be used for motion correction. The evolution of this quality parameter throughout a time series indicates whether head motion is within a predetermined limit. Fifty functional MRI studies were used to calibrate the sensitivity of the algorithm, using the six rigid-body registration parameters (three translations and three rotations) from the statistical parametric mapping (SPM99) package as a reference. The average correlation coefficient between the new quality parameter and the reference value from SPM was 0.84. The simple algorithm correctly classified acceptable or excessive motion with 90% accuracy, with the remaining 10% being borderline cases. This method makes it possible to evaluate brain motion within seconds after a scan and to decide whether a study needs to be repeated. (C) 2003 Elsevier Inc. All rights reserved.
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