Abstract
The qualitative and quantitative comparison of pre- and postoperative image data is an important possibility to validate computer assisted surgical procedures. Due to deformations after surgery a non-rigid registration scheme is a prerequisite for a precise comparison. Interactive landmark-based schemes are a suitable approach. Incorporation of a priori knowledge about the anatomical structures to be registered may help to reduce interaction time and improve accuracy. Concerning pre- and postoperative CT data of oncological liver resections the intrahepatic vessels are suitable anatomical structures. In addition to using landmarks at vessel branchings, we here introduce quasi landmarks at vessel segments with anisotropic localization precision. An experimental comparison of interpolating thin-plate splines (TPS) and Gaussian elastic body splines (GEBS) as well as approximating GEBS on both types of landmarks is performed.
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References
Selle D, Preim B, Schenk A, et al. Analysis of vasculature for liver surgical planning. IEEE Trans Med Imaging. 2002;21(ll):1344–1357.
Beller S, Hünerbein M, Lange T, et al. Image-guided surgery of liver métastases by 3D ultrasound-based optoelectronic navigation. Brit J Surg. 2007;94(7):866–875.
Lemke A, Brinkmann M, Schott T, et al. Living donor right liver lobes: Preoperative CT volumetric measurement for calculation of intraoperative weight and volume. Radiology. 2006;240(3):736–742.
Ferrant M, Nabavi A, Macq B, et al. Serial registration of intraoperative MR images of the brain. Med Image Anal. 2002;6(4):337–359.
Kohlrausch J, Rohr K, Stiehl HS. A new class of elastic body splines for nonrigid registration of medical images. J Math Imaging Vis. 2005;23:253–280.
Charnoz A, Agnus V, Malandain G, et al. Design of robust vascular tree matching: Validation on liver. Lect Note Comp Sci. 2005;3566:443–455.
Bookstein FL. Principal warps: Thin-plate splines and the decomposition of deformations. IEEE Trans Pattern Anal Mach Intell. 1989;11(6):567–585.
Wörz S, Rohr K. Physics-based elastic registration using non-radial basis functions and including landmark localization uncertainties. Computer Vis Image Underst. 2008;111(3):263–274.
Lange T, Lamecker H, Hünerbein M, et al. Validation metrics for non-rigid registration of medical images containing vessel trees. Procs BVM. 2008; p. 82–86.
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© 2009 Springer-Verlag Berlin Heidelberg
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Lange, T., Wörz, S., Rohr, K., Schlag, P.M. (2009). Landmark-Based 3D Elastic Registration of Pre- and Postoperative Liver CT Data. In: Meinzer, HP., Deserno, T.M., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2009. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93860-6_22
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DOI: https://doi.org/10.1007/978-3-540-93860-6_22
Publisher Name: Springer, Berlin, Heidelberg
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