• DocumentCode
    2122559
  • Title

    High-sensitivity hyper-spectral video endoscopy system for intra-surgical tissue classification

  • Author

    Arnold, Thomas ; De Biasio, Martin ; Leitner, Raimund

  • Author_Institution
    CTR Carinthian Tech Res. AG, Villach, Austria
  • fYear
    2010
  • fDate
    1-4 Nov. 2010
  • Firstpage
    2612
  • Lastpage
    2615
  • Abstract
    Modern video endoscopy systems give physicians the ability to inspect internal structures of the human body by using a camera with attached endoscope optics. Video endoscopy has become routine in clinics all over the world. Moreover, video endoscopy systems recently performed a technological change from PAL/NTS C image resolution to HDTV. There is a vast amount of literature on in-vivo and in-vitro experiments with multi-spectral point and imaging instruments. The literature demonstrates that document that the spectral information can provide valuable support for diagnosis. Due to the fact that spectral imaging equipment was too slow to acquire hyper-spectral image stacks at reasonable video rates, intra-surgery hyper spectral measurements were limited to point measurements in the past. But the availability of fast and versatile acousto optical tunable filters (AOTF) with switching times in the microsecond range made the application of a hyper-spectral video endoscope technically feasible. This paper describes a demonstrator of a hyper-spectral video endoscope and the results of the first clinical studies. The results show that hyper-spectral video endoscopy exhibits a large potential to become an important imaging technology for medical imaging devices that provide additional diagnostic information about the tissue under investigation.
  • Keywords
    acousto-optical filters; biomedical optical imaging; endoscopes; image resolution; medical image processing; surgery; video signal processing; HDTV; acoustooptical tunable filters; diagnosis; endoscope optics; high-sensitivity hyperspectral video endoscopy system; image resolution; intrasurgical tissue classification; medical imaging devices; switching times;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2010 IEEE
  • Conference_Location
    Kona, HI
  • ISSN
    1930-0395
  • Print_ISBN
    978-1-4244-8170-5
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2010.5690205
  • Filename
    5690205