Weighted geometric diffusion measures for neuronal fiber tractography algorithms

Chih Yu Hsu, Chia Hao Chang, Yu Jen Yang, Kuo Kun Tseng, Yeong Lin Lai, Chih Cheng Chen

研究成果: Article同行評審


A fiber tracking algorithm, called a barycentric-space weighted tractography (B WT) algorithm, was shown to improve streamline tracking technique (STT) algorithms used for creating m,ultiple connection fiber trajectories for branching and crossing. Considering the weight of diffusion anisotropy in the current and surrounding voxels, and the fact that the direction of income vector and the principal eigenvector had only a small bias towards the direction of surrounding voxels, the algorithm performed well. This was largely due to the application of m,ultiple seeds and bidirectional tracing for each fiber. Fractional isotropy (FI) related to fractional anisotropy (FA) is proposed for the purpose of determining the threshold of separate brain tissues. The white matter region was used as a mask to reduce the number of seeds in order to increase the efficiency of the fiber tracking software. Synthetic and clinical diffusion tensor imaging (DTI) data were employed to demonstrate the effectiveness of the fiber tracking algorithm. The experimental results show that the fiber visualization is reasonable.

頁(從 - 到)1339-1358
期刊International Journal of Innovative Computing, Information and Control
出版狀態Published - 2012 二月

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics

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