v2.0.1

• Fixed bug in reorienting streamlines.
• Updated CM-Rep code to be compatible with the latest update of VTK and ITK.

v2.0.0

• Added support for multiple white matter bundle formats: trk, trx, tt.gz, tck.
• Added option to invert the transform matrix.
• Fixed along-length segmentation/labeling issue when subject bundles were cropped or incomplete.
• Added option to extract volumetric and streamline profiles.
• Added streamline shape metrics.

v1.0.1

• Resolved an issue where excluded_idx was empty.

• Prevented the creation of empty DataFrames when computing bundle features based on binary masks and microstructure maps

v1.0.0

First release of Medial Tractography Analysis (MeTA): a workflow designed to minimize brain microstructural heterogeneity in diffusion MRI (dMRI) metrics by extracting and parcellating the core volume along the length of white matter bundles in voxel space, directly preserving bundle shape while efficiently capturing regional variation within and along the bundles.

Key Features:

• Extraction of the Medial Surface and Core Volume of white matter bundles (WM).
• Segmentation of WM bundles along their length in voxel space.
• Computation of volumetric and streamline-based features.