title: The VN project: endoscopic image processing for neurosurgery.
abstract: We developed a navigation support system for endoscopic interventions that allows three-dimensional (3-D) information to be extracted from endoscopic video data and superimposed onto such live video sequences. The endoscope is coupled to a position measurement system and a video camera as components of a calibrated system. In this article we show that the radial distortions of the wide-angle endoscopic lens system can be successfully corrected and an overall accuracy of about 0.7 mm is achievable. Tracking on live endoscopic video sequences allows accurate 3-D depth data to be obtained from multiple camera views.
authors.affiliation: Center for Neuroinformatics, Ruhr University Bochum, Germany. wolfgang@zn.ruhr-uni-bochum.de
authors.forename: W
authors.initials: W
authors.lastname: Konen
authors.forename: M
authors.initials: M
authors.lastname: Scholz
authors.forename: S
authors.initials: S
authors.lastname: Tombrock
mesh_terms: D002138:Calibration; D019723:Endoscopes; D004724:Endoscopy / Q000379:methods / Q000706:statistics & numerical data; D004867:Equipment Design / Q000706:statistics & numerical data; D006801:Humans; D008838:Microcomputers; D019635:Neurosurgical Procedures / Q000295:instrumentation* / Q000379:methods / Q000706:statistics & numerical data; D013690:Television / Q000295:instrumentation; D013813:Therapy, Computer-Assisted / Q000295:instrumentation* / Q000379:methods / Q000706:statistics & numerical data