title: Markerless endoscopic registration and referencing.
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.
authors.affiliation: Computer Vision Laboratory, ETH Zurich, 8092 Zurich, Switzerland. wengert@vision.ee.ethz.ch
authors.forename: Christian
authors.initials: C
authors.lastname: Wengert
authors.forename: Philippe C
authors.initials: PC
authors.lastname: Cattin
authors.forename: John M
authors.initials: JM
authors.lastname: Duff
authors.forename: Charles
authors.initials: C
authors.lastname: Baur
authors.forename: Gábor
authors.initials: G
authors.lastname: Sźekely
mesh_terms: D000465:Algorithms; D019723:Endoscopes; D004724:Endoscopy / Q000379:methods*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D007089:Image Enhancement / Q000295:instrumentation*; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation*; D021621:Imaging, Three-Dimensional / Q000295:instrumentation*; D012016:Reference Values; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique / Q000295:instrumentation*