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Proceedings Paper

Matching CT and ultrasound data of the liver by landmark constrained image registration
Author(s): Janine Olesch; Nils Papenberg; Thomas Lange; Matthias Conrad; Bernd Fischer
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Paper Abstract

In navigated liver surgery the key challenge is the registration of pre-operative planing and intra-operative navigation data. Due to the patients individual anatomy the planning is based on segmented, pre-operative CT scans whereas ultrasound captures the actual intra-operative situation. In this paper we derive a novel method based on variational image registration methods and additional given anatomic landmarks. For the first time we embed the landmark information as inequality hard constraints and thereby allowing for inaccurately placed landmarks. The yielding optimization problem allows to ensure the accuracy of the landmark fit by simultaneous intensity based image registration. Following the discretize-then-optimize approach the overall problem is solved by a generalized Gauss-Newton-method. The upcoming linear system is attacked by the MinRes solver. We demonstrate the applicability of the new approach for clinical data which lead to convincing results.

Paper Details

Date Published: 13 March 2009
PDF: 7 pages
Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 72610G (13 March 2009); doi: 10.1117/12.812218
Show Author Affiliations
Janine Olesch, Univ. of Lübeck (Germany)
Nils Papenberg, Univ. of Lübeck (Germany)
Thomas Lange, Charité Universitätsmedizin Berlin (Germany)
Matthias Conrad, Emory Univ. (United States)
Bernd Fischer, Univ. of Lübeck (Germany)


Published in SPIE Proceedings Vol. 7261:
Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kenneth H. Wong, Editor(s)

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