Department of Computer Science, University of Hull, Hull, UK.
IEEE Trans Med Imaging. 2012 Mar;31(3):543-53. doi: 10.1109/TMI.2011.2172455. Epub 2011 Oct 18.
Vasculature geometry reconstruction from volumetric medical data is a crucial task in the development of computer guided minimally invasive vascular surgery systems. In this paper, a technique for reconstructing the geometry of vasculatures using bivariate implicit splines is developed. With the proposed technique, an implicit geometry representation of the vascular tree can be accurately constructed based on the voxels extracted directly from the surface of a certain vascular structure in a given volumetric medical dataset. Experimental results show that the geometric representation built using our method can faithfully represent the morphology and topology of vascular structures. In addition, both the qualitative and the quantitative validations have been performed to show that the reconstructed vessel geometry is of high accuracy and smoothness. An virtual angioscopy system has been implemented to indicate one of the strengths of our proposed method.
从容积医学数据中重建脉管系统的几何形状是开发计算机引导的微创血管手术系统的关键任务。在本文中，开发了一种使用二元隐式样条进行脉管系统几何重建的技术。在所提出的技术中，可以基于从给定容积医学数据集中的某个血管结构的表面直接提取的体素来准确地构建血管树的隐式几何表示。实验结果表明，使用我们的方法构建的几何表示可以忠实地表示血管结构的形态和拓扑结构。此外，已经进行了定性和定量验证，以表明重建的血管几何形状具有高精度和光滑度。已经实现了一个虚拟血管镜系统来表示我们提出的方法的一个优势。
