Matching CT and Ultrasound Data of the Liver by Landmark Constrained Image Registration

Janine Olesch, Nils Papenberg, Thomas Lange, Matthias Conrad, Bernd Fischer

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.
OriginalspracheEnglisch
Titel Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling
Redakteure/-innenMichael I. Miga, Kenneth H.. Wong
Seitenumfang7
Band7261
Herausgeber (Verlag)SPIE
Erscheinungsdatum13.03.2009
Aufsatznummer72610G
ISBN (Print)978-081947512-1
DOIs
PublikationsstatusVeröffentlicht - 13.03.2009
VeranstaltungMedical Imaging 2009 - Image Processing - Lake Buena Vista, USA / Vereinigte Staaten
Dauer: 07.02.200912.02.2009
Konferenznummer: 78741

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