Evaluating a Visualization of Uncertainty in Probabilistic Tractography

摘要

In this paper we evaluate a visualization approach for representing uncertainty information in probabilistic fiber pathways in the human brain. We employ a semi-transparent volume rendering method where probabilities of fiber tracts are conveyed by colors and opacities (cf. Figure 1). Anatomic orientation is provided by placing anatomic landmarks in form of cortial or functional defined brain areas. In order to quantify the effectiveness of our approach we have conducted a formal user study concerning preferred anatomic context information and coloring of fiber tracts.