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Automatic Removal of False Connections in Diffusion MRI Tractography Using Topology-Informed Pruning (TIP)
Fang-Cheng Yeh1,2, Sandip Panesar3, Jessica Barrios3
1Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA. frank.yeh@pitt.edu.
Summary
Topology-Informed Pruning (TIP) enhances diffusion MRI fiber tracking accuracy by automatically removing false connections. This method significantly improves brain connection mapping, comparable to expert neuroanatomist agreement.
Area of Science:
- Neuroimaging
- Computational Neuroscience
- Medical Physics
Background:
- Diffusion MRI fiber tracking maps human brain connections non-invasively.
- A significant challenge is the 'false connection problem,' leading to inaccurate tractography.
Purpose of the Study:
- To introduce and evaluate Topology-Informed Pruning (TIP) for improving diffusion MRI tractography accuracy.
- To assess TIP's ability to automatically identify and eliminate false connections.
Main Methods:
- Developed Topology-Informed Pruning (TIP) to identify and remove singular tracts.
- Evaluated TIP's accuracy against traditional tractography in blinded trials with 6 neuroanatomists.
- Compared TIP's performance in single-shell and grid-based diffusion schemes.
Main Results:
- TIP significantly improved tractography accuracy by 11.93% (single-shell) and 3.47% (grid scheme).
- The improvement over random pruning was statistically significant (p < 0.001).
- Diagnostic agreement between TIP and neuroanatomists was comparable to inter-neuroanatomist agreement.
Conclusions:
- TIP effectively cleans noisy fibers in deterministic tractography.
- This automated method enhances the reliability of mapping brain connections.
- TIP has potential applications in basic neuroanatomy and clinical neurosurgical planning.
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