Divergence from Diffusion Tensor: a discriminant diffusion marker from single shell MRI

Divergence from the Diffusion Tensor (DDT) discriminates different non-Gaussian diffusion scenarios using single-shell MRI, showing very low intra-subject variabilities in public datasets.

• Why it matters: Standard diffusion tensor acquisitions can’t support methods needing multiple b-values, limiting access to diffusion heterogeneity linked to non-Gaussian behavior.
• What they did: The study reformulates divergence estimation to require only one b-value (single shell) and tests DDT against other anisotropy measures using publicly available databases.
• The result: DDT extracts relevant white-matter information without extra acquisition demands and is compatible with standard diffusion MRI analysis pipelines, supporting its use as a brain imaging marker.