• DocumentCode
    3691791
  • Title

    [POSTER] Deformation Estimation of Elastic Bodies Using Multiple Silhouette Images for Endoscopic Image Augmentation

  • Author

    Akira Saito;Megumi Nakao;Yuki Uranishi;Tetsuya Matsuda

  • Author_Institution
    Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan
  • fYear
    2015
  • Firstpage
    170
  • Lastpage
    171
  • Abstract
    This study proposes a method to estimate elastic deformation using silhouettes obtained from multiple endoscopic images. Our method can estimate the intraoperative deformation of organs using a volumetric mesh model reconstructed from preoperative CT data. We use this elastic body silhouette information of elastic bodies not to model the shape but to estimate the local displacements. The model shape is updated to satisfy the silhouette constraint while preserving the shape as much as possible. The result of the experiments showed that the proposed methods could estimate the deformation with root mean square (RMS) errors of 5.0–10 mm.
  • Keywords
    "Shape","Estimation","Deformable models","Surgery","Computed tomography","Augmented reality","Computational modeling"
  • Publisher
    ieee
  • Conference_Titel
    Mixed and Augmented Reality (ISMAR), 2015 IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/ISMAR.2015.49
  • Filename
    7328089