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2015 | OriginalPaper | Buchkapitel

7. Motion Correlation and Tracking

verfasst von : Achim Schweikard, Floris Ernst

Erschienen in: Medical Robotics

Verlag: Springer International Publishing

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Abstract

To track the motion of an anatomic structure in real-time, we need very fast and robust imaging methods. However, this is often insufficient. A correlation-based approach can help here. Suppose we have an external structure (e.g. the patient’s skin) which can be tracked easily, with optical methods. Then suppose we have an internal target, which is often very difficult to track.

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[1]

M. Baumhauer, M. Feuerstein, H.-P. Meinzer, and J. Rassweiler. Navigation in endoscopic soft tissue surgery: Perspectives and limitations. Journal of Endourology, 22(4):751–766, 2008. DOI 10.1089/end.2007.9827.CrossRef

[2]

C. M. Bishop. Pattern Recognition and Machine Learning. Information Science and Statistics. Springer, New York, Berlin, Heidelberg, 2006.MATH

[3]

B. E. Boser, I. M. Guyon, and V. N. Vapnik. A training algorithm for optimal margin classifiers. In Proceedings of the Fifth Annual Workshop on Computational Learning Theory, New York, NY, USA. ACM. Published in COLT ’92, pages 144–152, 1992. DOI 10.1145/130385.130401.

[4]

C.-C. Chang and C.-J. Lin. LIBSVM: a library for support vector machines, 2001.

[5]

È. Coste-Manière, D. Olender, W. Kilby, and R. A. Schulz. Robotic whole body stereotactic radiosurgery: clinical advantages of the Cyberknife(R) integrated system. The International Journal of Medical Robotics and Computer Assisted Surgery, 1(2):28–39, 2005. DOI 10.1002/rcs.39.CrossRef

[6]

T. Depuydt, D. Verellen, O. C. L. Haas, T. Gevaert, N. Linthout, M. Duchateau, K. Tournel, T. Reynders, K. Leysen,M. Hoogeman, G. Storme, and M. de Ridder. Geometric accuracy of a novel gimbals based radiation therapy tumor tracking system. Radiotherapy and Oncology, 98(3):365–372, 2011. DOI 10.1016/j.radonc.2011.01.015.CrossRef

[7]

F. Ernst, R. Bruder, A. Schlaefer, and A. Schweikard. Correlation between external and internal respiratory motion: a validation study. International Journal of Computer Assisted Radiology and Surgery, 7(3):483–492, 2012. DOI 10.1007/s11548-011-0653-6.CrossRef

[8]

R. Ginhoux, J. Gangloff, M. de Mathelin, L. Soler, M. M. A. Sanchez, and J. Marescaux. Active filtering of physiological motion in robotized surgery using predictive control. IEEE Transactions on Robotics, 21(1):67–79, 2005. DOI 10.1109/tro.2004.833812.CrossRef

[9]

W. Karush. Minima of functions of several variables with inequalities as side conditions. Master’s thesis, Department of Mathematics, University of Chicago, Chicago, IL, 1939.

[10]

P. J. Keall, G. S. Mageras, J. M. Balter, R. S. Emery, K. M. Forster, S. B. Jiang, J. M. Kapatoes, D. A. Low, M. J. Murphy, B. R. Murray, C. R. Ramsey, M. B. V. Herk, S. S. Vedam, J. W. Wong, and E. Yorke. The management of respiratory motion in radiation oncology. Report of AAPM task group 76. Medical Physics, 33(10):3874–3900, 2006. DOI 10.1118/1.2349696.

[11]

A. Khamene, J. K. Warzelhan, S. Vogt, D. Elgort, C. Chefd’Hotel, J. L. Duerk, J. Lewin, F. K. Wacker, and F. Sauer. Characterization of internal organ motion using skin marker positions. In C. Barillot, D. R. Haynor, and P. Hellier, editors, MICCAI 2004, Part II, St. Malo, France. MICCAI, Springer. Published in LNCS, 3217:526–533, 2004.

[12]

H. W. Kuhn and A. W. Tucker. Nonlinear programming. In J. Neyman, editor, Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability. University of California, University of California Press, 1951, pages 481–492.

[13]

C. L. Lawson and R. J. Hanson. Solving Least Squares Problems, volume 15 of Classics in Applied Mathematics. Society for Industrial and Applied Mathematics, Englewood Cliffs, NJ, 1987.

[14]

T. Neicu, H. Shirato, Y. Seppenwoolde, and S. B. Jiang. Synchronized moving aperture radiation therapy (SMART): average tumour trajectory for lung patients. Physics in Medicine and Biology, 48(5):587–598, 2003. DOI 10.1088/0031-9155/48/5/303.CrossRef

[15]

G. P. Penney, J. M. Blackall, M. S. Hamady, T. Sabharwal, A. Adam, and D. J. Hawkes. Registration of freehand 3D ultrasound and magnetic resonance liver images. Medical Image Analysis, 8(1):81–91, 2004. DOI 10.1016/j.media.2003.07.003.CrossRef

[16]

J. C. Platt. Fast training of support vector machines using sequential minimal optimization, pages 185–208 in B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, Advances in kernel methods: Support Vector Learning. MIT Press, Cambridge, MA, USA, 1999.

[17]

C. N. Riviere, J. Gangloff, and M. de Mathelin. Robotic compensation of biological motion to enhance surgical accuracy. Proceedings of the IEEE, 94(9):1705–1716, 2006. DOI 10.1109/jproc.2006.880722.CrossRef

[18]

T. Rohlfing, C. R. Maurer, W. G. O’Dell, and J. Zhong. Modeling liver motion and deformation during the respiratory cycle using intensity-based nonrigid registration of gated MR images. Medical Physics, 31(3):427–432, 2004. DOI 10.1118/1.1644513.CrossRef

[19]

A. Schweikard, G. Glosser, M. Bodduluri, M. J. Murphy, and J. R. Adler, Jr. Robotic Motion Compensation for Respiratory Movement during Radiosurgery. Journal of Computer-Aided Surgery, 5(4):263–277, 2000. DOI 10.3109/10929080009148894.CrossRef

[20]

A. J. Smola and B. Schölkopf. A tutorial on support vector regression. Statistics and Computing, 14:199–222, 2004.MathSciNetCrossRef

[21]

D. Verellen, M. de Ridder, N. Linthout, K. Tournel, G. Soete, and G. Storme. Innovations in image-guided radiotherapy. Nature Reviews Cancer, 7(12):949–960, 2007. DOI 10.1038/nrc2288.CrossRef

[22]

J. Wilbert, M. Guckenberger, B. Polat, O. Sauer, M. Vogele, M. Flentje, and R. A. Sweeney. Semi-robotic 6 degree of freedom positioning for intracranial high precision radiotherapy; first phantom and clinical results. Radiation Oncology, 5:42, 2010. DOI 10.1186/1748-717x-5-42.CrossRef

Titel: Motion Correlation and Tracking
verfasst von: Achim Schweikard
Floris Ernst
Verlag: Springer International Publishing
Buch: Medical Robotics
Print ISBN: 978-3-319-22890-7

Electronic ISBN: 978-3-319-22891-4

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-22891-4_7

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