OPTICAL FLOW TO ANALYSE STABILISED IMAGES OF THE BEATING HEART

Martin Gröger, Gerd Hirzinger

Abstract

An optical flow method is developed to analyse the motion of the beating heart surface and the efficacy of strategies to stabilise this motion. Although reduced by mechanical stabilisers, residual tissue motion makes safe surgery still difficult and time consuming. Compensation for this movement is therefore highly desirable. Images of the heart surface, captured by a video endoscope, can be further stabilised based on motion information obtained by tracking natural landmarks in realtime. The remaining motion on the heart surface is assessed by a specially developed optical flow approach: It estimates the image velocities based on a robust region-based strategy and provides a reliable measure of the motion field of the heart. The analysis shows that tissue motion can be reduced by a global motion correction strategy while local motion differences remain.

References

  1. Barron, J., Fleet, D., and Beauchemin, S. (1994). Performance of optical flow. International Journal of Computer Vision, 12:1:43-77.
  2. Ginhoux, R., Gangloff, J., de Mathelin, M., and et al (2004). Beating heart tracking in robotic surgery using 500 Hz visual servoing, model predictive control and an adaptive observer. In IEEE ICRA, pages 274-279, New Orleans, USA.
  3. Gröger, M., Kübler, B., and Hirzinger, G. (2004). Selection of qualified colour markers for heart surface tracking. In BMT, volume 49-2, pages 192-193, Illmenau.
  4. Gröger, M., Ortmaier, T., Sepp, W., and Hirzinger, G. (2002). Tracking local motion on the beating heart. In Medical Imaging 2002, volume 4681 of SPIE, pages 233-241, San Diego, USA.
  5. Gröger, M., Sepp, W., and Hirzinger, G. (2005). Structure driven substitution of specular reflections for realtime heart surface tracking. In IEEE International Conference on Image Processing (ICIP), volume 2, pages 1066-1069, Genova, Italy.
  6. Horn, B. (1986). Robot vision. MIT Press, Cambridge, Massachusetts.
  7. Horn, B. and Schunck, B. (1981). Determining optical flow. Artificial Intelligence, 17:185-204.
  8. Jacobs, S., Holzhey, D., Kiaii, B., Onnasch, J., Walther, T., Mohr, F., and Falk, V. (2003). Limitations for manual and telemanipulator-assisted motion tracking - implications for endoscopic beating-heart surgery. Ann Thorac Surg, 76:2029-2035.
  9. Lucas, B. and Kanade, T. (1981). An iterative image registration technique with an application to stereo vision. In Proc 7th Intl Conf on Artificial Intelligence, pages 674-679.
  10. Nakamura, Y., Kishi, K., and Kawakami, H. (2001). Heartbeat synchronization for robotic cardiac surgery. In IEEE ICRA, pages 2014-2019, Seoul, Korea.
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Paper Citation


in Harvard Style

Gröger M. and Hirzinger G. (2006). OPTICAL FLOW TO ANALYSE STABILISED IMAGES OF THE BEATING HEART . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 237-244. DOI: 10.5220/0001378602370244


in Bibtex Style

@conference{visapp06,
author={Martin Gröger and Gerd Hirzinger},
title={OPTICAL FLOW TO ANALYSE STABILISED IMAGES OF THE BEATING HEART},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={237-244},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001378602370244},
isbn={972-8865-40-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - OPTICAL FLOW TO ANALYSE STABILISED IMAGES OF THE BEATING HEART
SN - 972-8865-40-6
AU - Gröger M.
AU - Hirzinger G.
PY - 2006
SP - 237
EP - 244
DO - 10.5220/0001378602370244