Deterministic fibre tracking improved by diffusion tensor similarity
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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.