A Duality Based Algorithm for TV-L 1-Optical-Flow Image Registration. Pock, T., Urschler, M., Zach, C., Beichel, R., & Bischof, H. Volume 4792 LNCS, Ayache, N., Ourselin, S., & Maeder, A., editors. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007, pages 511-518. Springer Berlin Heidelberg, 2007.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007 [link]Website  doi  abstract   bibtex   
Nonlinear image registration is a challenging task in the field of medical image analysis. In many applications discontinuities may be present in the displacement field, and intensity variations may occur. In this work we therefore utilize an energy functional which is based on Total Variation regularization and a robust data term. 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 combined with a fast 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. © Springer-Verlag Berlin Heidelberg 2007.
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 year = {2007},
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 volume = {4792 LNCS},
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 websites = {http://link.springer.com/10.1007/978-3-540-75759-7_62},
 publisher = {Springer Berlin Heidelberg},
 city = {Berlin, Heidelberg},
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 abstract = {Nonlinear image registration is a challenging task in the field of medical image analysis. In many applications discontinuities may be present in the displacement field, and intensity variations may occur. In this work we therefore utilize an energy functional which is based on Total Variation regularization and a robust data term. 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 combined with a fast 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. © Springer-Verlag Berlin Heidelberg 2007.},
 bibtype = {inbook},
 author = {Pock, Thomas and Urschler, Martin and Zach, Christopher and Beichel, Reinhard and Bischof, Horst},
 editor = {Ayache, N. and Ourselin, S. and Maeder, A.},
 doi = {10.1007/978-3-540-75759-7_62},
 chapter = {A Duality Based Algorithm for TV-L 1-Optical-Flow Image Registration},
 title = {Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007}
}

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