| 弥散张量成像的双张量模型纤维跟踪方法 |
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| 引用本文： | 黄海清,杨永贵,郭岗,阮宗才. 弥散张量成像的双张量模型纤维跟踪方法[J]. 中国医学影像技术, 2010, 26(8): 1565-1568 |
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| 作者姓名： | 黄海清 杨永贵 郭岗 阮宗才 |
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| 作者单位： | 1. 东南大学儿童发展与学习科学教育部重点实验室,江苏,南京,210096
2. 厦门市第二医院放射科,福建,厦门,361021 |
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| 基金项目： | 厦门市科技计划项目，厦门市科技局指导性项目(卫生局资助)，福建省卫生厅青年科研课题立项建议单位资助计划项目 |
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| 摘 要： | 目的 在传统的单张量模型跟踪方法的基础上,研究基于双张量模型的纤维跟踪方法.方法 分别采用FACT、TEND纤维跟踪算法与基于双张量模型的纤维跟踪算法,对模拟数据和实际弥散张量图像进行纤维跟踪,对结果进行比较,并将双张量模型应用于TEND算法实现分叉点的纤维跟踪.结果 纤维跟踪的结果显示经改进的双张量TEND纤维跟踪方法(MTEND)可以有效地对分叉点处的神经纤维进行跟踪.结论 与传统方法相比,双张量模型可以有效估计纤维分叉点,实现对分叉纤维的跟踪.
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| 关 键 词： | 扩散磁共振成像 纤维跟踪 多张量 |
| 收稿时间： | 2010-01-14 |
| 修稿时间： | 2010-04-22 |
Multi-tensor fiber tracking method in diffusion tensor imging |
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| HUANG Hai-qing,YANG Yong-gui,GUO Gang and RUAN Zong-cai. Multi-tensor fiber tracking method in diffusion tensor imging[J]. Chinese Journal of Medical Imaging Technology, 2010, 26(8): 1565-1568 |
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| Authors: | HUANG Hai-qing YANG Yong-gui GUO Gang RUAN Zong-cai |
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| Affiliation: | Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing 210096, China;Department of Radiology, the Second Hospital of Xiamen, Xiamen 361021, China;Department of Radiology, the Second Hospital of Xiamen, Xiamen 361021, China;Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing 210096, China |
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| Abstract: | Objective To investigate the multi-tensor fibers tracking method based on the traditional single-tensor method. Methods FACT, TEND and multi-tensor fiber tracking methods were conducted on both simulated and in vivo DTI data. The results of the three methods were compared and the multi-tensor model was applied to TEND to track divergent fibers. Results The fiber tracking results showed that the improved two-tensor TEND method can effectively track fibers at divergent points. Conclusion According to the results of fiber tracking experiments, the multi-tensor method can effectively distinguish divergent points and display multi-direction fibers. |
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| Keywords: | Diffusion magnetic resonance imaging Fiber tracking Multi-tensor |
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