Before revision:  Current methods include several parameters, typically tuned in a heuristic way, with settings to increase the sensitivity, without attenuating the overall problem. We propose a new way to optimize fiber-tracking results by multi-objectives tailored to minimize the current issues.
After revision:  Current methods include several parameters, typically tuned in a heuristic way, which leaves room for manipulation of an intended result. Here we propose a data-driven framework to optimize and validate parameters of dMRI-based fiber-tracking results by multi-objectives tailored to minimize the current issues.