Deterministic fibre tracking improved by diffusion tensor similarity
journal contributionposted on 2019-05-02, 10:25 authored by Lei Ye, Diwei Zhou, Eugenie Hunsicker, Baihua Li
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.
- Mathematical Sciences
Published inMIUA 2019
CitationYE, L. .... et al., 2019. Deterministic fibre tracking improved by diffusion tensor similarity. Presented at the 23rd Conference on Medical Image Understanding and Analysis (MIUA), 24-26 July 2019, Liverpool.
- AM (Accepted Manuscript)
Publisher statementThis is a pre-copyedited version of a contribution published in Medical Image Understanding and Analysis. Yalin Zheng; Bryan Williams; Ke Chen (eds.) published by Springer. The definitive authenticated version is available online via http://dx.doi.org/10.1007/978-3-030-39343-4
Book seriesCommunications in Computer and Information Science; 1065