Abstract
A superresolution algorithm was applied to spatially shifted, single-shot, diffusion-weighted brain images to generate a new image with increased spatial resolution. Detailed two-dimensional white matter fiber tract maps of the human brain resulting from application of the technique are shown. The method provides a new means for improving the resolution in cases where k-space segmentation is difficult to implement. Diffusion-weighted imaging and diffusion tensor imaging in vivo stand to benefit in particular because the necessity of obtaining high-resolution scans is matched by the difficulty in obtaining them. Magn Reson Med 45:29-35, 2001.
Keywords
Diffusion MRIWhite matterComputer scienceVisualizationImage resolutionFiber tractTractographySegmentationResolution (logic)DiffusionDiffusion imagingMagnetic resonance imagingArtificial intelligenceComputer visionNuclear magnetic resonancePhysicsRadiologyMedicine
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Publication Info
- Year
- 2001
- Type
- article
- Volume
- 45
- Issue
- 1
- Pages
- 29-35
- Citations
- 237
- Access
- Closed
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Cite This
Sharon Peled,
Yehezkel Yeshurun
(2001).
Superresolution in MRI: Application to human white matter fiber tract visualization by diffusion tensor imaging.
Magnetic Resonance in Medicine
, 45
(1)
, 29-35.
https://doi.org/10.1002/1522-2594(200101)45:1<29::aid-mrm1005>3.0.co;2-z
Identifiers
- DOI
- 10.1002/1522-2594(200101)45:1<29::aid-mrm1005>3.0.co;2-z