Wengert Christian, Cattin Philippe C, Duff John M, Baur Charles, Sźekely Gábor
Computer Vision Laboratory, ETH Zurich, 8092 Zurich, Switzerland.
Med Image Comput Comput Assist Interv. 2006;9(Pt 1):816-23. doi: 10.1007/11866565_100.
Accurate patient registration and referencing is a key element in navigated surgery. Unfortunately all existing methods are either invasive or very time consuming. We propose a fully non-invasive optical approach using a tracked monocular endoscope to reconstruct the surgical scene in 3D using photogrammetric methods. The 3D reconstruction can then be used for matching the pre-operative data to the intra-operative scene. In order to cope with the near real-time requirements for referencing, we use a novel, efficient 3D point management method during 3D model reconstruction. The presented prototype system provides a reconstruction accuracy of 0.1 mm and a tracking accuracy of 0.5 mm on phantom data. The ability to cope with real data is demonstrated by cadaver experiments.
精确的患者注册和配准是导航手术中的关键要素。不幸的是,所有现有方法要么具有侵入性,要么非常耗时。我们提出一种完全非侵入性的光学方法,使用跟踪单目内窥镜通过摄影测量方法对手术场景进行三维重建。然后,三维重建可用于将术前数据与术中场景进行匹配。为了满足配准的近实时要求,我们在三维模型重建过程中使用了一种新颖、高效的三维点管理方法。所展示的原型系统在模拟数据上的重建精度为0.1毫米,跟踪精度为0.5毫米。尸体实验证明了该系统处理真实数据的能力。