Is correction for gradient nonlinearity necessary in a brain diffusion tensor MRI clinical study?
This study investigated whether correction for gradient nonlinearity (GNL) is necessary in clinical brain diffusion tensor MRI, finding that effects are subtle in typical single-site settings but become statistically detectable in multi-site studies exceeding approximately 1,000 subjects. The authors recommend that GNL correction be considered and implemented where possible in large-scale neuroimaging studies to prevent systematic bias in quantitative DTI metrics.
This study investigated whether correction for gradient nonlinearity (GNL) is necessary in clinical brain diffusion tensor MRI, finding that effects are subtle in typical single-site settings but become statistically detectable in multi-site studies exceeding approximately 1,000 subjects. The authors recommend that GNL correction be considered and implemented where possible in large-scale neuroimaging studies to prevent systematic bias in quantitative DTI metrics.
What the study was
- Study design
- Cohort study
- Sample size
- 948
- Category
- Public Health
- Maturity
- Validated
- Journal
- PloS one
Why it surfaced
Relevant Aging, longevity, and population health study (promising preliminary signal) meets standard-priority threshold.
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