Fast deformable registration of 3d-ultrasound data using a variational approach

Authors:
Darko Zikic;Wolfgang Wein;Ali Khamene;Dirk-André Clevert;Nassir Navab
Affiliations:
Chair for Computer Aided Medical Procedures (CAMP), Technische Universität München, Germany;Chair for Computer Aided Medical Procedures (CAMP), Technische Universität München, Germany;Imaging and Visualization Dept., Siemens Corporate Research, Princeton, NJ;Department of Clinical Radiology, University Hospitals Munich-Grosshadern, Germany;Chair for Computer Aided Medical Procedures (CAMP), Technische Universität München, Germany
Venue:
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Year:
2006

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Abstract

We present an intensity based deformable registration algorithm for 3D ultrasound data. The proposed method uses a variational approach and combines the characteristics of a multilevel algorithm and the properties of ultrasound data in order to provide a fast and accurate deformable registration method. In contrast to previously proposed approaches, we use no feature points and no interpolation technique, but compute a dense displacement field directly. We demonstrate that this approach, although it includes solving large PDE systems, reduces the computation time if implemented using efficient numerical techniques. The performance of the algorithm is tested on multiple 3D US images of the liver. Validation is performed by simulations, similarity comparisons between original and deformed images, visual inspection of the displacement fields and visual assessment of the deformed images by physicians.