Deterministic fibre tracking improved by diffusion tensor similarity

Fibre tracking is a non-invasive technique based on Diffusion Tensor Imaging (DTI) that provides useful information about biological anatomy and connectivity. In this paper, we propose a new tractography algorithm, named TAS (Tracking by Angle and Similarity), which is able to overcome the shortfalls of existing algorithms by considering not only the main diffusion directions, but also the similarity of diffusion tensors. The algorithm achieved better tracking results in simulation experiments. Fibre tracking from a real brain dataset is presented