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

Thomas Pock*, Martin Urschler, Christopher Zach, Reinhard Beichel, Horst Bischof

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


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.
Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention – MICCAI 2007
Subtitle of host publication10th International Conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part II
EditorsNicholas Ayache, Sébastien Ourselin, Anthony Maeder
Place of PublicationBerlin Heidelberg
Number of pages8
Volume4792 LNCS
EditionPART 2
ISBN (Electronic)978-3-540-75759-7
ISBN (Print)978-3-540-75758-0
Publication statusPublished - 2007
Event10th International Conference on Medical Imaging and Computer-Assisted Intervention: MICCAI 2007 - Brisbane, Australia
Duration: 29 Oct 20072 Nov 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4792 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349


Conference10th International Conference on Medical Imaging and Computer-Assisted Intervention

Fields of Expertise

  • Information, Communication & Computing


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