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无标记内镜注册与参考

Markerless endoscopic registration and referencing.

作者信息

Wengert Christian, Cattin Philippe C, Duff John M, Baur Charles, Sźekely Gábor

机构信息

Computer Vision Laboratory, ETH Zurich, 8092 Zurich, Switzerland.

出版信息

Med Image Comput Comput Assist Interv. 2006;9(Pt 1):816-23. doi: 10.1007/11866565_100.

Abstract

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.

摘要

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。

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