A global approach to diffusion tensor neighborhood tractography
نویسندگان
چکیده
Introduction: Neighborhood tractography offers the potential to improve the reliability and reproducibility of automated white matter pathway extraction and associated measurements of connectivity and tract integrity. Neighborhood tractography frameworks have been proposed for local tractography methods, particularly those based on streamline, or probabilistic streamline algorithms [1,2]. In this work, a neighborhood tractography procedure is developed for global tractography algorithms, such as those based on front evolution, and an initial evaluation is performed using an implementation of fast marching tractography.
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