dos Santos Thiago R, Seitel Alexander, Meinzer Hans-Peter, Maier-Hein Lena
German Cancer Research Center, Div. Medical and Biological Informatics, Heidelberg, Germany.
Med Image Comput Comput Assist Interv. 2010;13(Pt 2):660-7. doi: 10.1007/978-3-642-15745-5_81.
Intra-operative registration is one of the main challenges related to computer-assisted interventions. One common approach involves matching intra-operatively acquired surfaces (e.g. from a laser range scanner) to pre-operatively acquired planning data. In this paper, we propose a new method for correspondences search between surfaces, which can be used for the computation of an initial alignment. It generates graph representations and establishes correspondences by maximizing a global similarity measure. The method does not rely on landmarks or prominent surface characteristics and is independent on the initial pose of the surfaces relative to each other. According to an evaluation on a set of liver meshes, the method is able to correctly match small submeshes even in this presence of noise.
术中配准是计算机辅助干预的主要挑战之一。一种常见方法是将术中获取的表面（例如来自激光测距扫描仪）与术前获取的规划数据进行匹配。在本文中，我们提出了一种用于表面之间对应关系搜索的新方法，该方法可用于计算初始对齐。它生成图形表示并通过最大化全局相似性度量来建立对应关系。该方法不依赖于地标或突出的表面特征，并且与表面相对于彼此的初始姿态无关。根据对一组肝脏网格模型的评估，即使存在噪声，该方法也能够正确匹配小子网格。
