ArticleMagnetic resonance imaging2025
Sensitivity of quantitative diffusion MRI tractography and microstructure to anisotropic spatial sampling.
Article in Magnetic resonance imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Contrastive learning and advanced bundle metrics outperform fractional anisotropy for Alzheimer's disease diffusion MRI prediction: findings from the Beyond FA challenge.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- HARMONIZATION MITIGATES DIFFUSION MRI SCANNER EFFECTS IN INFANCY: INSIGHTS FROM THE HEALTHY BRAIN AND CHILD DEVELOPMENT (HBCD) STUDY.Proceedings. IEEE International Symposium on Biomedical Imaging · 2026Article
- Article
- Did you know? State-of-the-art preprocessing diffusion MRI data can improve tractography.Brain structure & function · 2026Review
- Modeling a Shared Reality of Tractography through Varied Structural Imaging.bioRxiv : the preprint server for biology · 2026Article
- Personalized White Matter Bundle Segmentation for Early Childhood.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
- Modeling a Shared Reality of Tractography through Varied Structural Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
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Authors and funding
13 authors.
Funding
Abstract
purposeDiffusion weighted MRI (dMRI) and its models of neural structure provide insight into human brain organization and variations in white matter. A recent study by McMaster, et al. showed that complex graph measures of the connectome, the graphical representation of a tractogram, vary with spatial sampling changes, but biases introduced by anisotropic voxels in the process have not been well characterized. This study uses microstructural measures (fractional anisotropy and mean diffusivity) and white matter bundle properties (bundle volume, length, and surface area) to further understand the effect of anisotropic voxels on microstructure and tractography.
methodsThe statistical significance of the selected measures derived from dMRI data were assessed by comparing three white matter bundles at different spatial resolutions with 44 subjects from the Human Connectome Project - Young Adult dataset scan/rescan data using the Wilcoxon Signed-Rank test. The original isotropic resolution (1.25 mm isotropic) was explored with 6 anisotropic resolutions with 0.25 mm incremental steps in the z dimension. Then, all generated resolutions were upsampled to 1.25 mm isotropic and 1 mm isotropic.
resultsThere were statistically significant differences between at least one microstructural and one bundle measure at every resolution (p≤0.05, corrected for multiple comparisons). Cohen's d coefficient evaluated the effect size of anisotropic voxels on microstructure and tractography.
conclusionFractional anisotropy and mean diffusivity cannot be recovered with basic up-sampling from low quality data with gold-standard data with the methods selected for this study. However, the bundle measures across our selected regions of interest become more repeatable when voxels are resampled to 1 mm isotropic.
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