Abstract
In the field of image-guided liver surgery (IGLS), the initial registration of the intra-operative organ surface with preoperative tomographic image data is performed on manually selected anatomical landmarks. In this paper, we introduce a fully automatic scheme that is able to estimate the transformation for initial organ registration in a multi-modal setup aligning intra-operative time-of-flight (ToF) with preoperative computed tomography (CT) data, without manual interaction. The method consists of three stages: First, we extract geometric features that encode the local surface topology in a discriminative manner based on a novel gradient operator. Second, based on these features, point correspondences are established and deployed for estimating a coarse initial transformation. Third, we apply a conventional iterative closest point (ICP) algorithm to refine the alignment. The proposed method was evaluated for an open abdominal hepatic surgery scenario with invitro experiments on four porcine livers. The method achieved a mean distance of 4.82 ± 0.79 mm and 1.70 ± 0.36 mm for the coarse and fine registration, respectively.
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References
Cash D, Miga M, Glasgow S, et al. Concepts and preliminary data toward the realization of image-guided liver surgery. J Gastrointest Surg. 2007;11(7):844–59.
Besl J, Neil M. A method for registration of 3D shapes. IEEE Trans Pattern Anal Mach Intell. 1992;14(2):239–56.
Seitel A, dos Santos TR, Mersmann S, et al. Time-of-Flight Kameras für die intraoperative Oberflächenerfassung. In: Proc BVM; 2010. p. 11–5.
Bauer S, Wasza J, Müller K, et al. 4D photogeometric face recognition with timeof-flight sensors. In: Proc WACV; 2011, accepted for publication.
Zaharescu A, Boyer E, Viranasi K, et al. Surface feature detection and description with applications to mesh matching. In: Proc CVPR; 2009. p. 373–80.
Gelfand N, Mitra N, Guibas L, et al. Robust global registration. In: Proc SGP; 2005. p. 197–206.
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© 2011 Springer-Verlag Berlin Heidelberg
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Müller, K., Bauer, S., Wasza, J., Hornegger, J. (2011). Automatic Multi-modal ToF/CT Organ Surface Registration. In: Handels, H., Ehrhardt, J., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2011. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19335-4_33
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DOI: https://doi.org/10.1007/978-3-642-19335-4_33
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