Abstract
Heart motion compensation is a challenging problem within medical robotics and it is still considered an open research area due to the lack of robustness. As it can be formulated as an energy minimization problem, an optimization technique is needed. The selection of an adequate method has a significant impact over the global solution. For this reason, a new methodology is presented here for solving heart motion compensation in which the central topic is oriented to increase robustness with the goal of achieving a balance between efficiency and efficacy. Particularly, genetic algorithms are used as optimization technique since they can be adapted to any real application, complex and oriented to work in real-time problems.
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References
Livesay, J.J.: The benefits of off-pump coronary bypass: A reality or an illusion? Texas Heart Institute Journal (2003)
Karamanoukian, H.L.: Decreased incidence of postoperative stroke following on-pump coronary artery bypass. Journal of the American College of Cardiology (2002)
World Health Organization (2011), http://www.who.int/en/
Lemma, A., Mangini, A., Redaelli, A., Acocella, F.: Do cardiac stabilizers really stabilize? experimental quantitative analysis of mechanical stabilization. Interactive CardioVascular and Thoracic Surgery (2005)
Jacobs, S., Holzhey, D., Mohr, F., Falk, V.: Limitations for manual and telemanipulator-assisted motion tracking and dexterity for endoscopic surgery. In: Proc. Int. Congr. Comput. Assisted Radiol. Surg., pp. 673–677 (2003)
Salvendy, G.: Manual control and tracking. In: Handbook of Human Factors, pp. 182–218. Wiley, New York (1987)
Nakamura, Y., Kishi, K., Kawakami, H.: Heartbeat Synchronization for Robotic Cardiac Surgery. In: International Conference on Robotics and Automation, Seoul, Korea, pp. 2014–2019 (2001)
Ortmaier, T., Groger, M., Boehm, D.H., Falk, V., Hirzingerw, G.: Motion estimation in beating heart surgery. IEEE Trans. Biomed. Eng., 1729–1740 (2005)
Noce, A., Triboulet, J., Poignet, P.: Efficient tracking of the heart using textures. In: Proceedings of the 29th Annual International Conference of the IEEE EMBS (2007)
Lo, B., Chung, A.J., Stoyanov, D., Mylonas, G., Yang, G.Z.: Real-time intra-operative 3D tissue deformation recovery. In: Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 1387–1390 (2008)
Richa, R., Poignet, P., Liu, C.: Three-dimensional motion tracking for beating heart surgery using a thin-plate spline deformable model. The International Journal of Robotics Research (2009)
Hadamard, J.: Lectures on the Cauchy Problems in Linear Partial Differential Equations. Yale University Press, New Haven (1923)
Aviles, A.I., Casals, A.: Interpolation Based Deformation Model for Minimally Invasive Beating Heart Surgery. In: Roa Romero, L.M. (ed.) XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013. IFMBE Proceedings, vol. 41, pp. 372–375. Springer, Heidelberg (2014)
Lewis, B., Reichel, L.: Arnoldi-Tikhonov regularization methods, pp. 1–21. Elsevier Science (2008)
Mumford, D., Shah, J.: Optimal approximation by piecewise smooth functions and associated variational problems. Comm. Pure Appl. Math. 42, 577–685 (1989)
Rudin, L., Osher, S.J., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Physica D 60, 259–268 (1992)
Rouet, J.M., Jacq, J.J., Roux, C.: Genetic algorithms for a robust 3-D MR-CT registration. IEEE T. Inf. Technol. B. 4(2), 126–136 (2000)
Holland, J.H.: Adaptation in Natural and Artificial Systems. MIT Press (1975)
Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addision-Westley (1989)
Mitchell, M.: An introduction to genetic algorithms. The MIT Press (1998)
Sivanandam, S.N., Deepa, S.N.: An introduction to genetic algorithms. Springer (2008)
Stoyanov, D., Mylonas, G., Deligianni, F., Darzi, A., Yang, G.Z.: Soft-tissue Motion Tracking and Structure Estimation for Robotic Assisted MIS Procedure. Medical Image Computing and Computer Assisted Interventions 2, 139–146 (2012)
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Aviles, A.I., Casals, A. (2014). On Genetic Algorithms Optimization for Heart Motion Compensation. In: Armada, M., Sanfeliu, A., Ferre, M. (eds) ROBOT2013: First Iberian Robotics Conference. Advances in Intelligent Systems and Computing, vol 252. Springer, Cham. https://doi.org/10.1007/978-3-319-03413-3_17
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DOI: https://doi.org/10.1007/978-3-319-03413-3_17
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