« BackMedical Image Analysis
Article in Press

Robotic Tissue Tracking for Beating Heart Mitral Valve Surgery

  • Shelten G. Yuen

      Affiliations

    • Harvard School of Engineering and Applied Sciences, 29 Oxford Street, Cambridge, MA, 02138, USA
    • Corresponding Author InformationCorresponding author.
  • ,
  • Nikolay V. Vasilyev

      Affiliations

    • Department of Cardiovascular Surgery, Children’s Hospital Boston, MA, USA
  • ,
  • Pedro J. del Nido

      Affiliations

    • Department of Cardiovascular Surgery, Children’s Hospital Boston, MA, USA
  • ,
  • Robert D. Howe

      Affiliations

    • Harvard School of Engineering and Applied Sciences, 29 Oxford Street, Cambridge, MA, 02138, USA
    • Harvard-MIT Division of Health Sciences & Technology, Cambridge, MA, USA

Received 4 August 2009; received in revised form 16 June 2010; accepted 21 June 2010. published online 08 July 2010.
Accepted Manuscript

Abstract 

The rapid motion of the heart presents a significant challenge to the surgeon during intracardiac beating heart procedures. We present a 3D ultrasound-guided motion compensation system that assists the surgeon by synchronizing instrument motion with the heart. The system utilizes the fact that certain intracardiac structures, like the mitral valve annulus, have trajectories that are largely constrained to translation along one axis. This allows the development of a real-time 3D ultrasound tissue tracker that we integrate with a 1 degree-of-freedom (DOF) actuated surgical instrument and predictive filter to devise a motion tracking system adapted to mitral valve annuloplasty. In experiments demonstrate that the system provides highly accurate tracking (1.0 mm error) with 70% less error than manual tracking attempts.

Keywords: 3D ultrasound, real-time tissue tracking, motion compensation, medical robotics, beating heart surgery

No full text is available. To read the body of this article, please view the PDF online.

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.
 

PII: S1361-8415(10)00070-8

doi:10.1016/j.media.2010.06.007

« BackMedical Image Analysis