# BundleSeg: A versatile, reliable and reproducible approach to white matter bundle segmentation

arXiv: https://arxiv.org/abs/2308.10958 · HTML: https://mlsanity.com/paper/2308.10958/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 27 references that are in the map.
- First posted on arXiv 21 Aug 2023.

## Builds on (most cited first, 2 of 2)

- [TractSeg - Fast and accurate white matter tract segmentation](https://mlsanity.com/paper/1805.07103/) (2018)
- [Comparison of Distances for Supervised Segmentation of White Matter Tractography](https://mlsanity.com/paper/1708.01440/) (2017)

## Built on by (most cited first, 2 of 2)

- [GenTract: Generative Global Tractography](https://mlsanity.com/paper/2511.13183/) (2025)
- [A foundation for systematic analysis of transformers and RNNs for tractography](https://mlsanity.com/paper/2610.01894/) (2026)

## Abstract (arXiv)

This work presents BundleSeg, a reliable, reproducible, and fast method for extracting white matter pathways. The proposed method combines an iterative registration procedure with a recently developed precise streamline search algorithm that enables efficient segmentation of streamlines without the need for tractogram clustering or simplifying assumptions. We show that BundleSeg achieves improved repeatability and reproducibility than state-of-the-art segmentation methods, with significant speed improvements. The enhanced precision and reduced variability in extracting white matter connections offer a valuable tool for neuroinformatic studies, increasing the sensitivity and specificity of tractography-based studies of white matter pathways.