Fiber Assignment Continuous Tracking maintains a pathway by evaluating the dominant diffusion orientation as a streamline moves from one voxel to the next. This continuous propagation links local directional estimates into a reconstructed white-matter trajectory, rather than treating each voxel as an isolated observation. The resulting path represents the direction of water diffusion through the sampled brain tissue.
Selected seed points initiate streamlines, so they establish where reconstruction begins. As propagation proceeds voxel to voxel, the algorithm follows the dominant orientation from those starting locations. Seed selection therefore forms part of the tracking procedure and connects the reconstructed pathways to the brain regions chosen for analysis.
Tracking stops when anisotropy falls below the selected threshold or when the trajectory bends beyond the allowed angle. These rules limit propagation to paths that continue to meet the algorithm's directional and geometric conditions. Consequently, the threshold and angle limit help determine how far a reconstructed streamline extends and where it terminates.
Anisotropy supplies a continuation criterion during tracking. When its value falls below the selected threshold, the algorithm stops the streamline rather than extending it through the next voxel. This makes anisotropy central to deciding whether a reconstructed pathway remains traceable under the method's stated conditions.
A practical workflow begins with selected seed points. The algorithm initiates streamlines there, advances them from voxel to voxel along the dominant diffusion orientation, and checks the tracking criteria during propagation. Each streamline continues only while anisotropy remains above threshold and its bend stays within the permitted angle.
Fiber Assignment Continuous Tracking can provide reconstructed views of white-matter pathways that support assessment of structural connectivity. Across the brain, these pathways also contribute to research on brain organization. Because the output is a tract reconstruction based on diffusion direction, it can relate pathway patterns to the anatomy being studied.
In medicine, reconstructed pathways can be used to characterize neurological disorders by showing how white-matter organization is represented in the brain. The resulting tractography supplies a structural-connectivity perspective for research, complementing efforts to understand brain organization through diffusion-based pathway reconstruction and its mapped pathway patterns.
For neurosurgical planning, tract reconstructions can show the spatial relationship between white-matter fiber tracts and a lesion or operative target. This information places those structures in the same anatomical context, allowing research and clinical planning to consider pathway location when evaluating a planned intervention in advance.