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一种使用最短路径算法的改进型实时血管内导丝位置模拟。

An improved real-time endovascular guidewire position simulation using shortest path algorithm.

作者信息

Qiu Jianpeng, Qu Zhiyi, Qiu Haiquan, Zhang Xiaomin

机构信息

Computer Application Institute, School of Information Science and Engineering, Lanzhou University, No. 222, Tian Shui Road (South), Lanzhou, China.

No. 47 Middle School of Zhengzhou, Zhengdong New District, Zhengzhou, China.

出版信息

Med Biol Eng Comput. 2016 Sep;54(9):1375-82. doi: 10.1007/s11517-015-1398-0. Epub 2015 Oct 15.

Abstract

In this study, we propose a new graph-theoretical method to simulate guidewire paths inside the carotid artery. The minimum energy guidewire path can be obtained by applying the shortest path algorithm, such as Dijkstra's algorithm for graphs, based on the principle of the minimal total energy. Compared to previous results, experiments of three phantoms were validated, revealing that the first and second phantoms overlap completely between simulated and real guidewires. In addition, 95 % of the third phantom overlaps completely, and the remaining 5 % closely coincides. The results demonstrate that our method achieves 87 and 80 % improvements for the first and third phantoms under the same conditions, respectively. Furthermore, 91 % improvements were obtained for the second phantom under the condition with reduced graph construction complexity.

摘要

在本研究中,我们提出了一种新的基于图论的方法来模拟颈动脉内的导丝路径。基于总能量最小的原理,通过应用最短路径算法(如图的迪杰斯特拉算法)可以获得能量最小的导丝路径。与之前的结果相比,对三个模型进行了实验验证,结果表明第一个和第二个模型的模拟导丝与实际导丝完全重叠。此外,第三个模型有95%完全重叠,其余5%紧密重合。结果表明,在相同条件下,我们的方法对第一个和第三个模型分别实现了87%和80%的改进。此外,在降低图构建复杂度的条件下,第二个模型实现了91%的改进。

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