• DocumentCode
    138461
  • Title

    Using monocular images to estimate interaction forces during minimally invasive surgery

  • Author

    Noohi, Ehsan ; Parastegari, Sina ; Zefran, Milos

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois at Chicago, Chicago, IL, USA
  • fYear
    2014
  • fDate
    14-18 Sept. 2014
  • Firstpage
    4297
  • Lastpage
    4302
  • Abstract
    The lack of haptic feedback during minimally invasive surgery can cause significant tissue damage and increase morbidity. Estimating the applied force from endoscopic images is a promising approach, especially using binocular images. However, many existing operation rooms are only equipped with monocular endoscopes, making force estimation more problematic. In this paper a new method for estimating the applied force from monocular endoscope images is proposed. The main contribution is the concept of virtual template that enables modeling of surface deformation without the knowledge of the undeformed shape. Results of the in vitro experiment with the lamb liver support the practicality and effectiveness of the proposed method.
  • Keywords
    endoscopes; haptic interfaces; medical image processing; surgery; binocular images; endoscopic images; force estimation; haptic feedback; lamb liver; minimally invasive surgery; monocular endoscope images; monocular endoscopes; monocular images; morbidity; surface deformation; tissue damage; virtual template; Cameras; Deformable models; Force; Image reconstruction; Robots; Shape; Surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/IROS.2014.6943169
  • Filename
    6943169