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

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

2126

Lastpage

2129

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4352742

Filename

4352742