Towards robotized beating heart TECABG: Assessment of the heart dynamics using high-speed vision

Active robotic filtering is probably the solution for beating heart Totally Endoscopic Coronary Artery Bypass Grafting (TECABG). In this work, we assess the heart motion dynamics by simultaneous use of high-speed imaging of optical markers attached to the heart, ECG signals and ventilator airflow acquisitions. Our goal is to assess the heart motions (shape, velocity, acceleration) in order to be able to make more accurate specifications for a novel, dedicated robot that could follow these motions in real time. Furthermore, using two additional inputs (ECG and airflow), we propose a novel robust prediction algorithm that could be used with a predictive control algorithm to improve the tracking accuracy.

[1]  N.V. Thakor,et al.  Adaptive cancelling of physiological tremor for improved precision in microsurgery , 1998, IEEE Transactions on Biomedical Engineering.

[2]  Bassam Bamieh,et al.  Identification of linear parameter varying models , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

[3]  Luc Soler,et al.  Active filtering of physiological motion in robotized surgery using predictive control , 2005, IEEE Transactions on Robotics.

[4]  Matthias Kirsch,et al.  Computer-assisted coronary surgery: lessons from an initial experience. , 2005, Interactive cardiovascular and thoracic surgery.

[5]  P. Börnert,et al.  Novel prospective respiratory motion correction approach for free‐breathing coronary MR angiography using a patient‐adapted affine motion model , 2003, Magnetic resonance in medicine.

[6]  Tobias Ortmaier,et al.  Motion estimation in beating heart surgery , 2005, IEEE Transactions on Biomedical Engineering.

[7]  B Barzilai,et al.  Adverse cerebral outcomes after coronary bypass surgery. , 1997, The New England journal of medicine.

[8]  Bruno Reichart,et al.  Comparison of two stabilizer concepts for off-pump coronary artery bypass grafting. , 2002, The Annals of thoracic surgery.

[9]  Philippe Cattin,et al.  Trajectory of coronary motion and its significance in robotic motion cancellation. , 2004, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[10]  Nitish V. Thakor,et al.  Surgical Motion Adaptive Robotic Technology (S.M.A.R.T): Taking the Motion out of Physiological Motion , 2001, MICCAI.

[11]  Robert H. Anderson,et al.  Anatomy of the pig heart: comparisons with normal human cardiac structure , 1998, Journal of anatomy.

[12]  David Atkinson,et al.  A study of the motion and deformation of the heart due to respiration , 2002, IEEE Transactions on Medical Imaging.

[13]  Yoshihiko Nakamura,et al.  Heartbeat synchronization for robotic cardiac surgery , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[14]  Rafael Beyar,et al.  Prospective motion correction of X-ray images for coronary interventions , 2005, IEEE Transactions on Medical Imaging.

[15]  Larry S. Davis,et al.  Model-based object pose in 25 lines of code , 1992, International Journal of Computer Vision.