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A Duality Based Algorithm for TV-L1-Optical-Flow Image Registration

Authors Pock Thomas, Urschler Martin, Zach Christopher , Beichel Reinhard, Bischof Horst
Appeared in

Proceedings of the 10th international Conference on Medical Image Computing and Computer Assisted Intervention

Publisher

Springer LNCS

Date to appear 2007
Abstract

Nonlinear image registration is a challenging task in the field of medical image analysis. Intensity based registration uses the complete information found in the provided source images and generates a dense displacement field. In many applications discontinuities may be present in the displacement field, and intensity variations between two images may occur. Hence, our intensity based registration method employs a TV-L1 energy functional incorporating total variation regularization and a robust data fidelity force. In this work we propose a novel, fast and stable numerical scheme to find the minimizer of this energy. Our approach combines a fixed-point procedure derived from duality principles with a thresholding step. We show experimental results on synthetic and clinical CT lung data sets at different breathing states as well as registration results on inter-subject brain MRIs.

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