Abstract
Computer based navigated surgery assists the spatial orientation of the surgeon. Our system registers preoperative data like CT or MR with intraoperative ultrasound data to get the coordinate transformation between the preoperative and the intraoperative data. With a surface volume registration we avoid a difficult surface segmentation in the ultrasound data. To prevent radial exposure and to get more details in the soft tissue the use of MR data for the operation planning is common. Extracting the bone surface in MR data is more difficult than in CT data because MR data has no normalized gray values. To register the ultrasound with the MR data at the knee we detected distinctive anatomic regions in the ultrasound data. We selected an adequate MR sequence in which we could segment the bone surface at the specific region. We evaluate the registration with 1000 random starting positions. 99.2% of the 1000 trails reached the optimum with an error less than 1 mm.
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References
D. Amin, T. Kanade, A. DiGioia, B. Jaramaz, in Ultrasound registration of bone surface for surgical navigation, Comput Aided Surg 8, 1–16, 2003.
J. Tonetti, L. Carrat, S. Blendea, P. Merloz, J. Troccaz, S. Lavallee, J. Chirossel, Vertebral surface extraction from ultrasound images for technology-guided therapy, Computer Aided Surgery 4, Vol. 6, 204–211, 2001.
D. M. Muratore, B. M. Dawant, R. Ll. Galloway, Clinical results of percutaneous pelvic surgery. Computer assisted surgery using ultrasound compared to standard fluoroscopy, Proceedings of SPIE, Vol. 3661, 1499–1510, 1999.
B. Brendel, S. Winter, A. Rick, et al., Registration of 3D CT-and ultrasounddatasets of the spine using bone structures, Comput Aided Surg 7, 146–155, 2002.
S. Winter, B. Brendel, A. Rick, Registration of bone surfaces, extracted from CTdatasets, with 3D-ultrasound, Biomed Tech 47, 57–60, 2002.
B. Brendel, S. Winter, H. Ermert, et al., In vivo Evaluierung und in vitro Genauigkeitsmessung für einen Algorithmus zur Registrierung von Ultraschall-und CT Datensätzen, In: Procs BVM, 340–344, 2005.
S. Winter, B. Brendel, C. Igel, Registration of bone structures in 3D ultrasound and CT data: Comparison of different optimization strategies, Procs CARS, Vol. 1281, 242–247, 2005.
T. G. Sanders, M. D. Miller, A Systematic Approach to Magnetic Resonance Imaging Interpretation of Sports Medicine Injuries of the Knee, The American Journal of Sports Medicine, Vol. 33, No. 1, 2005
N. Hansen, A. Ostermeier, Completely derandomized self-adaptation in evolution strategies, Evol Comput 9, Vol. 2, 159–195, 2001.
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© 2007 Springer-Verlag Berlin Heidelberg
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Dekomien, C., Mildenstein, M., Hensel, K., Hold, S., Winter, S. (2007). Registration of Intraoperative 3D Ultrasound with MR Data for the Navigated Computer Based Surgery. In: Buzug, T.M., Holz, D., Bongartz, J., Kohl-Bareis, M., Hartmann, U., Weber, S. (eds) Advances in Medical Engineering. Springer Proceedings in Physics, vol 114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68764-1_42
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DOI: https://doi.org/10.1007/978-3-540-68764-1_42
Publisher Name: Springer, Berlin, Heidelberg
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