Keywords: Tractography, Tractography & Fibre Modelling
Motivation: Whole brain tractography is highly challenging, and it is prone to false positive streamlines despite the use of Anatomically Constraint Tractography (ACT).
Goal(s): This study aims to reduce implausible streamlines in tractograms by introducing a novel refinement approach, thereby enhancing the accuracy of white matter connectivity analyses.
Approach: We developed Hierarchical Anatomical Refinement of Pathways (HARP), an advanced modification of ACT. HARP integrates increasingly detailed anatomical priors in a hierarchical fashion to improve accuracy of tractograms.
Results: Amount of implausible streamlines in ACT-based tractograms are relatively low but they are systematic. HARP is effective in further reducing false positive connections in tractograms.
Impact: Hierarchical Anatomical Refinement of Pathways (HARP) enhances tractography, offering neuroscientists and clinicians a new level of precision in brain connectivity analysis, which could impact our understanding of the brain and its disorders.
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