BundleParc: Consistent white matter bundle parcellation without tractography

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Authors: Antoine Théberge, Zineb El Yamani, Muhamed Baraković, Stefano Magon, Joseph Yuan‐Mou Yang, Maxime Descoteaux, François Rheault, Pierre‐Marc Jodoin
Cited by: 1
References: 62

Abstract

Tractometry, also known as tract profiling, is a powerful technique for probing microstructural properties along white matter (WM) tracts. A prerequisite for tractography-based tractometry is bundle parcellation—the subdivision of WM bundles into smaller segments where microstructural measures can be computed. However, existing parcellation methods lack consistency across bundles and timepoints, which reduces reproducibility and limits their utility for both longitudinal and cross-sectional studies. Moreover, these methods typically depend on tractography and bundle segmentation, two processes that are computationally expensive and often highly variable. In this work, we introduce BundleParc , a consistent and tractography-free bundle parcellation method. Instead of relying on streamline generation, BundleParc maps fiber orientation distribution function (fODF) volumes directly to label maps. Rigorous evaluation on research and clinical cohorts show that BundleParc is not only much simpler than state-of-the-art tract-based profiling methods, it is also consistently more accurate, robust and reproducible. With these results, BundleParc is a new solution for fast, easy-to-use, and off-the-shelf bundle segmentation and parcellation. • BundleParc produces parcellations for tractometry directly from FOD volumes. • BundleParc outperforms SOTA methods in accuracy, reproducibility in multiple cohorts. • BundleParc enables fast, reliable, robust and anatomically consistent parcellations.

Fields of Study & Subjects

Advanced Neuroimaging Techniques and Applications Advanced MRI Techniques and Applications Fetal and Pediatric Neurological Disorders

Publication details

Journal / source
Medical Image Analysis
Publisher
Elsevier BV
Volume
112
Pages
104087–104087
Publication date
24 April 2026
Language
EN