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Volumetric navigators for real-time motion correction in diffusion tensor imaging.
- Source :
-
Magnetic resonance in medicine [Magn Reson Med] 2012 Oct; Vol. 68 (4), pp. 1097-108. Date of Electronic Publication: 2012 Jan 13. - Publication Year :
- 2012
-
Abstract
- Prospective motion correction methods using an optical system, diffusion-weighted prospective acquisition correction, or a free induction decay navigator have recently been applied to correct for motion in diffusion tensor imaging. These methods have some limitations and drawbacks. This article describes a novel technique using a three-dimensional-echo planar imaging navigator, of which the contrast is independent of the b-value, to perform prospective motion correction in diffusion weighted images, without having to reacquire volumes during which motion occurred, unless motion exceeded some preset thresholds. Water phantom and human brain data were acquired using the standard and navigated diffusion sequences, and the mean and whole brain histogram of the fractional anisotropy and mean diffusivity were analyzed. Our results show that adding the navigator does not influence the diffusion sequence. With head motion, the whole brain histogram-fractional anisotropy shows a shift toward lower anisotropy with a significant decrease in both the mean fractional anisotropy and the fractional anisotropy histogram peak location (P<0.01), whereas the whole brain histogram-mean diffusivity shows a shift toward higher diffusivity with a significant increase in the mean diffusivity (P<0.01), even after retrospective motion correction. These changes in the mean and the shape of the histograms are recovered substantially in the prospective motion corrected data acquired using the navigated sequence.<br /> (Copyright © 2012 Wiley Periodicals, Inc.)
- Subjects :
- Algorithms
Brain anatomy & histology
Humans
Reproducibility of Results
Sensitivity and Specificity
Artifacts
Diffusion Magnetic Resonance Imaging methods
Head Movements
Image Enhancement methods
Image Interpretation, Computer-Assisted methods
Imaging, Three-Dimensional methods
Pattern Recognition, Automated methods
Subjects
Details
- Language :
- English
- ISSN :
- 1522-2594
- Volume :
- 68
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Magnetic resonance in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 22246720
- Full Text :
- https://doi.org/10.1002/mrm.23314