Diffusion tensor imaging fiber tracking with reliable tracking orientation and flexible step size

• Published in: Neural regeneration research 2013-06, Vol.8 (16), p.1481-1490
• Main Authors: Yao, Xufeng, Wang, Manning, Chen, Xinrong, Nie, Shengdong, Li, Zhexu, Xu, Xiaoping, Zhang, Xuelong, Song, Zhijian
• Format: Article
• Language: English
• Subjects: Algorithms; Anisotropy; Basic Research in Neural Regeneration; Brain mapping; Decomposition; Magnetic resonance imaging; Methods; Neuroimaging; Noise; 张量; 弥散; 成像; 模型; 步长; 跟踪定位; 跟踪技术; 长纤维
• ISSN: 1673-5374; 1876-7958
• DOI: 10.3969/j.issn.1673-5374.2013.16.005

We propose a method of reliable tracking orientation and flexible step size fiber tracking. A new directional strategy was defined to select one optimal tracking orientation from each directional set, which was based on the single-tensor model and the two-tensor model. The directional set of planar voxels contained three tracking directions： two from the two-tensor model and one from the single- tensor model. The directional set of linear voxels contained only one principal vector. In addition, a flexible step size, rather than fixable step sizes, was implemented to improve the accuracy of fiber tracking. We used two sets of human data to assess the performance of our method; one was from a healthy volunteer and the other from a patient with low-grade glioma. Results verified that our method was superior to the single-tensor Fiber Assignment by Continuous Tracking and the two-tensor eXtended Streamline Tractography for showing detailed images of fiber bundles.