Title :
Impact of realignment on spinal functional MRI time series
Author :
Cohen-Adad, J. ; Piche, M. ; Rainville, P. ; Benali, H. ; Rossignol, S.
Author_Institution :
Univ. de Montreal, Montreal
Abstract :
Functional magnetic resonance imaging (fMRI) of the spinal cord produces dataset that are particularly noisy because of cardiac-related motions. Realignment methods allowing subject motion correction might be sensitive to such noisy dataset. By realigning and quantifying cardiac variance on spinal dataset, we showed that such procedures decrease cardiac noise within the volumes. This has a direct and positive impact on functional imaging when estimating the T-score by means of the general linear model.
Keywords :
biomedical MRI; medical image processing; motion compensation; neurophysiology; time series; T-score estimation; cardiac noise; cardiac variance quantification; cardiac-related motion; functional magnetic resonance imaging; realignment methods; spinal cord; spinal functional MRI time series; subject motion correction; Fluctuations; Hemodynamics; Linear regression; Magnetic noise; Magnetic resonance imaging; Motion estimation; Neuroscience; Scanning probe microscopy; Spinal cord; Testing; GLM; Realignment; cardiac noise; fMRI; functional MRI; general linear model; spinal cord; Algorithms; Equipment Design; Fourier Analysis; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Statistical; Motion; Movement; Myocardium; Reproducibility of Results; Spinal Cord; Spine; Subtraction Technique; Treatment Outcome;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4352742
