一种新的脑部血管重建方法

A New Approach of Vascular Reconstruction in Brain

血管重建是神经外科导航软件中的重要组成部分。针对脑部血管可视化,目前存在两大问题:剔除头骨法得到的图像中血管和杂质组织并存、血管间断;血管分割法重建后的血管表面存在"失真面片"或"连接阶梯"。本工作采取对分割目标形状不敏感的阈值水平集法对血管进行分割,并结合ROI来提速,最后利用改进的二维距离场与Marching Cube算法结合进行血管表面重建。实验结果表明,该方法能很大程度消除"连接阶梯"并避免杂质组织出现和血管间断。同时,该方法可同时提取多根血管,而不需要考虑脑部血管复杂的拓扑结构,其重建结果可为医生诊断提供参考。

Vascular reconstruction in neurosurgery navigation software is an important component. There exist two problems of brain blood vessel visualization, eliminating skull results in impurity tissue＇s existence and blood vessels＇ intermittence regeneration based on segmentation results in blood vessels＇ surface ＂distorting facts＂ or ＂connection ladder＂. This paper takes the threshold level set segmentation which is not sensitive to the complex shape of target, and combines with the ROI to speed up, then uses the Marching Cube algorithm combined with a modified two-dimensional distance field to reconstruct the surface. The experimental shows that the method can greatly eliminate ＂connection ladder＂, avoid impurity tissue＇s existence and blood vessels＇ intermittence. Moreover, this method can extract multiple vessels at the same time without consideration of brain blood vessels＇ complex topology structure, the reconstruction can provide reference for the doctor to diagnose.