@inproceedings{9e4af5b347364dacbb8b5e588d07ac00,
title = "Evaluation of Fiber Tracking Results from UKF Tractography Methods",
abstract = "Tractography is an important way to get insight into white matter of brain. Many techniques like the promising UKF tractography have been developed for this purpose. In this paper, four measure metrics including spatial metric, tangent metric, curve metric, and Hausdorff distance, are used to evaluate and compare the accuracy of UKF tractography with different tensor models. And a synthetic diffusion-weighted imaging dataset and a real brain dataset are used to test the tractography methods. Quantitative and qualitative test results indicate that UKF tractography based on two-tensor model needs to be further improved in accuracy though it has advantages in processing cross fibers. This is a helpful hint for future study of UKF tractography.",
keywords = "UKF, evaluation, fiber tracts, tractography",
author = "Na Wang and Wenyao Zhang and Wen Zhao",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 13th International Conference on Computational Intelligence and Security, CIS 2017 ; Conference date: 15-12-2017 Through 18-12-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/CIS.2017.00140",
language = "English",
series = "Proceedings - 13th International Conference on Computational Intelligence and Security, CIS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "603--606",
booktitle = "Proceedings - 13th International Conference on Computational Intelligence and Security, CIS 2017",
address = "United States",
}