Multi-dimensional Parameter Space Exploration for Streamline-specific Tractography
<|reference_start|>Multi-dimensional Parameter Space Exploration for Streamline-specific Tractography: One of the unspoken challenges of tractography is choosing the right parameters for a given dataset or bundle. In order to tackle this challenge, we explore the multi-dimensional parameter space of tractography using streamline-specific parameters (SSP). We 1) validate a state-of-the-art probabilistic tracking method using per-streamline parameters on synthetic data, and 2) show how we can gain insights into the parameter space by focusing on streamline acceptance using real-world data. We demonstrate the potential added value of SSP to the current state of tractography by showing how SSP can be used to reveal patterns in the parameter space.<|reference_end|>
@article{vink2024multi-dimensional,
    title={Multi-dimensional Parameter Space Exploration for Streamline-specific
  Tractography},
    author={Ruben Vink, Anna Vilanova, Maxime Chamberland},
    journal={arXiv preprint arXiv:2408.05056},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.05056},
    primaryClass={eess.IV cs.CV}
}