Evaluation of Fiber Tracking Results from UKF Tractography Methods

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.