• DocumentCode
    1515105
  • Title

    Three-Dimensional Tissue Deformation Recovery and Tracking

  • Author

    Mountney, Peter ; Stoyanov, Danail ; Yang, Guang-Zhong

  • Volume
    27
  • Issue
    4
  • fYear
    2010
  • fDate
    7/1/2010 12:00:00 AM
  • Firstpage
    14
  • Lastpage
    24
  • Abstract
    Recent advances in surgical robotics have provided a platform for extending the current capabilities of minimally invasive surgery by incorporating both preoperative and intraoperative imaging data. In this tutorial article, we introduce techniques for in vivo three-dimensional (3-D) tissue deformation recovery and tracking based on laparoscopic or endoscopic images. These optically based techniques provide a unique opportunity for recovering surface deformation of the soft tissue without the need of additional instrumentation. They can therefore be easily incorporated into the existing surgical workflow. Technically, the problem formulation is challenging due to nonrigid deformation of the tissue and instrument interaction. Current approaches and future research directions in terms of intraoperative planning and adaptive surgical navigation are explained in detail.
  • Keywords
    biological tissues; biomechanics; biomedical optical imaging; deformation; endoscopes; medical image processing; medical robotics; surgery; 3D tissue tracking; adaptive surgical navigation; endoscopic images; intraoperative imaging data; intraoperative planning; laparoscopic images; minimally invasive surgery; preoperative imaging data; surgical robotics; three-dimensional tissue deformation recovery; Biomedical optical imaging; Cameras; Instruments; Laparoscopes; Medical robotics; Navigation; Optical imaging; Robot sensing systems; Surgery; Surges;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2010.936728
  • Filename
    5484176