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Download fileDeterministic fibre tracking improved by diffusion tensor similarity
journal contribution
posted on 2019-05-02, 10:25 authored by Lei Ye, Diwei Zhou, Eugenie Hunsicker, Baihua LiFibre 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.
History
School
- Science
Department
- Mathematical Sciences
Published in
MIUA 2019Citation
YE, 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.Publisher
SpringerVersion
- AM (Accepted Manuscript)
Publisher statement
This 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/10.1007/978-3-030-39343-4Acceptance date
2019-04-15Publication date
2020-03-14Copyright date
2020ISBN
9783030393434ISSN
1865-0929Publisher version
Book series
Communications in Computer and Information Science; 1065Language
- en