A vascular image registration method based on network structure and circuit simulation.
A vascular image registration method based on network structure and circuit simulation.
复制标题
一种基于网络结构和电路仿真的血管图像配准方法
DOI：
10.1186/s12859-017-1649-1
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发表时间：
2017-05-02
影响因子：
3
通讯作者：
Yuan C
中科院分区：
文献类型：
--
作者：
Chen L;Lian Y;Guo Y;Wang Y;Hatsukami TS;Pimentel K;Balu N;Yuan C
背景图像配准是图像处理领域的一个重要研究课题.将图像配准技术应用于血管图像，可以实现多幅图像的增强和融合，在疾病检测、临床辅助治疗等方面具有实用价值，但对于噪声大、差异大的血管结构，却难以进行有效的配准。提出了一种基于网络结构和电路仿真的配准方法。将血管图像转化为图网络并分割为分支，以降低计算复杂度。然后将加权图网络转换为电路，其中反映血管结构的电路的节点电压用于节点配准。在二维、三维仿真图像和临床图像集上的实验结果表明，该方法在配准方面取得了成功。结论基于网络结构和电路仿真的血管图像配准方法稳定、容错、高效，是对当前主流图像配准方法的有益补充。
BackgroundImage registration is an important research topic in the field of image processing. Applying image registration to vascular image allows multiple images to be strengthened and fused, which has practical value in disease detection, clinical assisted therapy, etc. However, it is hard to register vascular structures with high noise and large difference in an efficient and effective method.ResultsDifferent from common image registration methods based on area or features, which were sensitive to distortion and uncertainty in vascular structure, we proposed a novel registration method based on network structure and circuit simulation. Vessel images were transformed to graph networks and segmented to branches to reduce the calculation complexity. Weighted graph networks were then converted to circuits, in which node voltages of the circuit reflecting the vessel structures were used for node registration. The experiments in the two-dimensional and three-dimensional simulation and clinical image sets showed the success of our proposed method in registration.ConclusionsThe proposed vascular image registration method based on network structure and circuit simulation is stable, fault tolerant and efficient, which is a useful complement to the current mainstream image registration methods.