• DocumentCode
    3185339
  • Title

    Breast prone-to-supine deformation and registration using a Time-of-Flight camera

  • Author

    Lago, M.A. ; Martínez-Martínez, F. ; Rupérez, M.J. ; Monserrat, C. ; Alcañiz, M.

  • Author_Institution
    Inter-Univ. Res. Inst. for Bioeng. & Human Centered Technol., Univ. Politec. de Valencia, Valencia, Spain
  • fYear
    2012
  • fDate
    24-27 June 2012
  • Firstpage
    1161
  • Lastpage
    1163
  • Abstract
    The surgical interventions of the breast are a delicate process where the surgeon must be very accurate. The patient is in supine position during the intervention, however the only resource that can be used is a Magnetic Resonance Image (MRI) taken in a different time and in prone position. The work presented in this paper develops a tool that transforms the prone MRI into a new virtual MRI corresponding to the position of the patient in the operating table. The position of the patient in the operating table is captured with a Time-of-Flight camera and the mechanical behavior of the breast is simulated using a biomechanical model that takes into account the different tissues that form the breast. The surgeon will have the pre-operative information adjusted to the position of the patient in the operating table making the intervention more accurate.
  • Keywords
    biomedical MRI; gynaecology; image registration; image sensors; medical image processing; surgery; biomechanical model; breast prone-to-supine deformation; breast prone-to-supine registration; magnetic resonance image; mechanical behavior; operating table; preoperative information; surgeon; surgical interventions; time-of-flight camera; virtual MRI; Biological system modeling; Biomechanics; Boundary conditions; Breast; Cameras; Magnetic resonance imaging; Surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Robotics and Biomechatronics (BioRob), 2012 4th IEEE RAS & EMBS International Conference on
  • Conference_Location
    Rome
  • ISSN
    2155-1774
  • Print_ISBN
    978-1-4577-1199-2
  • Type

    conf

  • DOI
    10.1109/BioRob.2012.6290683
  • Filename
    6290683