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Updated: Apr 28, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Motion artifact reduction in pediatric diffusion tensor imaging using fast prospective correction
A Alhamud1, Paul A Taylor, Barbara Laughton
1MRC/UCT Medical Imaging Research Unit, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, South Africa.
Insights
Prospective motion correction in pediatric diffusion imaging showed fewer distortions than retrospective methods. This is crucial for accurate brain imaging in young children, improving diffusion tensor measures and tractography.
Area of Science:
- Neuroimaging
- Medical Physics
- Pediatric Radiology
Background:
- Head motion is a significant challenge in pediatric diffusion tensor imaging (DTI).
- Motion artifacts can distort diffusion tensor measures and affect tractography results.
- Accurate motion correction is vital for reliable neuroimaging in young children.
Purpose of the Study:
- To evaluate head motion patterns in young children during MRI scans.
- To compare the effectiveness of retrospective and prospective motion correction techniques on DTI data.
- To quantify the influence of these correction methods on diffusion tensor measures and tractography.
Main Methods:
- Eighteen pediatric subjects (5-6 years) underwent DTI using a 2D sequence.
- Scans were analyzed with retrospective correction (FLIRT) and prospective correction (navigator sequence).
- Fractional anisotropy (FA) values and tractography were assessed; a stationary phantom was also used.
Main Results:
- Retrospective correction significantly reduced mean FA values in white and gray matter compared to prospective correction.
- Altered FA distributions and spurious tractographic changes were observed with retrospective correction.
- These distortions were evident in subject, phantom, and simulated data.
Conclusions:
- Retrospective motion correction is susceptible to partial voluming artifacts in low-resolution 2D DTI, negatively biasing diffusion tensor imaging parameters.
- Prospective motion correction demonstrated fewer distortions and smaller changes in DTI measures.
- Prospective correction is recommended for more accurate pediatric brain imaging.
Purpose:
To evaluate the patterns of head motion in scans of young children and to examine the influence of corrective techniques, both qualitatively and quantitatively. We investigate changes that both retrospective (with and without diffusion table reorientation) and prospective (implemented with a short navigator sequence) motion correction induce in the resulting diffusion tensor measures.
Materials And Methods:
Eighteen pediatric subjects (aged 5-6 years) were scanned using 1) a twice-refocused, 2D diffusion pulse sequence, 2) a prospectively motion-corrected, navigated diffusion sequence with reacquisition of a maximum of five corrupted diffusion volumes, and 3) a T1 -weighted structural image. Mean fractional anisotropy (FA) values in white and gray matter regions, as well as tractography in the brainstem and projection fibers, were evaluated to assess differences arising from retrospective (via FLIRT in FSL) and prospective motion correction. In addition to human scans, a stationary phantom was also used for further evaluation.
Results:
In several white and gray matter regions retrospective correction led to significantly (P < 0.05) reduced FA means and altered distributions compared to the navigated sequence. Spurious tractographic changes in the retrospectively corrected data were also observed in subject data, as well as in phantom and simulated data.
Conclusion:
Due to the heterogeneity of brain structures and the comparatively low resolution (∼2 mm) of diffusion data using 2D single shot sequencing, retrospective motion correction is susceptible to distortion from partial voluming. These changes often negatively bias diffusion tensor imaging parameters. Prospective motion correction was shown to produce smaller changes.

