BundleMorphometry: Spatially Resolved White Matter Bundle Shape Analysis Using Nonlinear Streamline-based Registration

BundleMorphometry quantifies local white-matter bundle shape by using the analytical Jacobian log det J from nonlinear streamline-based registration, revealing spatially extensive deformation patterns in glioma-affected bundles.

• Why it matters: Diffusion MRI tractometry measures microstructure along bundles but misses localized geometry changes, limiting detection of spatially specific morphological alterations in disease.
• What they did: They register each subject bundle to a reference atlas with BundleWarp, derive the analytical Jacobian of the deformation field, compute log det J, and project values onto a 2D grid for group comparisons.
• The result: In glioma data, deformation patterns in lesion-affected WM bundles were not captured by displacement magnitude alone; in a PD cohort of 32 patients and 32 healthy controls, localized differences were found in the corpus callosum forceps major, mid-body, and right spinothalamic tract.

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