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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.
Originalsprache | englisch |
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Titel | Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007 |
Untertitel | 10th International Conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part II |
Redakteure/-innen | Nicholas Ayache, Sébastien Ourselin, Anthony Maeder |
Erscheinungsort | Berlin Heidelberg |
Herausgeber (Verlag) | Springer |
Seiten | 511-518 |
Seitenumfang | 8 |
Band | 4792 LNCS |
Auflage | PART 2 |
ISBN (elektronisch) | 978-3-540-75759-7 |
ISBN (Print) | 978-3-540-75758-0 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2007 |
Veranstaltung | 10th International Conference on Medical Imaging and Computer-Assisted Intervention: MICCAI 2007 - Brisbane, Australien Dauer: 29 Okt. 2007 → 2 Nov. 2007 |
Publikationsreihe
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Nummer | PART 2 |
Band | 4792 LNCS |
ISSN (Print) | 03029743 |
ISSN (elektronisch) | 16113349 |
Konferenz
Konferenz | 10th International Conference on Medical Imaging and Computer-Assisted Intervention |
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Land/Gebiet | Australien |
Ort | Brisbane |
Zeitraum | 29/10/07 → 2/11/07 |
Fields of Expertise
- Information, Communication & Computing
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