FODSeg: a deep learning framework for tract-specific white matter segmentation from full angular distributions.

ABSTRACT:

Introduction

White matter tract segmentation is critical for mapping brain connectivity in both clinical and research settings. Recent deep learning methods have enabled direct voxel-wise segmentation from diffusion MRI (dMRI), bypassing tractography. However, most approaches rely on a limited number of peaks extracted from the fiber orientation distribution function (fODF) at each voxel, which discards important orientation information, particularly in problematic regions with complex fiber configurations such as crossing fibers and bottlenecks.

Methods

In this work, we introduce FODSeg, a voxel-based segmentation method that utilizes the complete fODF representation for each voxel, capturing the full angular structure of white matter orientation. Additionally, we reformula

SUBMITTER: Joshi A 

PROVIDER: S-EPMC12832898 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature