@inproceedings{cf4af02b40394af5a03e6e48b3f430e3,
title = "Determination of fiber orientation in MRI diffusion tensor imaging based on higher-order tensor decomposition",
abstract = "High Angular Resolution Diffusion Imaging (HARDI) techniques have been used for resolving multiple fiber directions within a voxel. Using HARDI, a high-order tensor can be obtained through generalized diffusion tensor imaging (GDTI). In this paper, based on the decomposition of the high-order diffusion tensors, a mathematical technique is presented which permits accurate resolution of multiple, randomly-oriented fiber tracts within tissue. A sequence of pseudo-eigenvalues and pseudo-eigenvectors are derived from the diffusion tensor through successive application of a best least-square rank-1 tensor approximation. These pseudoeigenvalues and pseudo-eigenvectors are used to identify the major fiber directions within an individual image voxel. Results of a numerical simulation are presented to demonstrate the technique.",
author = "Leslie Ying and Zou, {Yi Ming} and Klemer, {David P.} and Wang, {Jiun Jie}",
year = "2007",
doi = "10.1109/IEMBS.2007.4352727",
language = "英语",
isbn = "1424407885",
series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
pages = "2065--2068",
booktitle = "29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07",
note = "29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 ; Conference date: 23-08-2007 Through 26-08-2007",
}