Objects change their form over time. Undoing these changes makes the two images of the same object more comparable. This process of finding a transformation of one of the images, such that it gets as similar as possible to the other one is called deformable registration. Deformable registration can lead to improvement of many medical procedures, both diagnostic and interventional. The main reason is that deformations of the human body are present in many settings and for many imaging techniques. Always, when these deformations occur between different scans, there is potential for the current methods to be improved by using deformable registration techniques. Example applications include follow-up studies, image fusion from different modalities and treatment planning. The focus of our work is two-fold: we try to understand and improve the existing registration methods and to solve clinical problems by applying the developed methods.
| 2011 |
|
B. Glocker, A. Sotiras, N. Komodakis, N. Paragios
Deformable Medical Image Registration: Setting the State of the Art with Discrete Methods
Annual Review of Biomedical Engineering, Vol. 13, pp.219-244, August, 2011
(bib)
|
|
M. Yigitsoy, C. Wachinger, N. Navab
Temporal Groupwise Registration for Motion Modeling
Information Processing in Medical Imaging (IPMI), July 3-8 2011.
(bib)
|
| 2010 |
|
|
B. Glocker, H. Heibel, N. Navab, P. Kohli, C. Rother
TriangleFlow: Optical Flow with Triangulation-based Higher-Order Likelihoods
11th European Conference on Computer Vision (ECCV), Crete, Greece, September 5-11 2010.
(bib)
|
|
|
B. Glocker, N. Komodakis, N. Paragios, N. Navab
Non-rigid Registration using Discrete MRFs: Application to Thoracic CT Images
Workshop Evaluation of Methods for Pulmonary Image Registration in conjunction with Medical Image Computing and Computer-Assisted Intervention (MICCAI), Beijing, China, September 24 2010
(bib)
|
| 2009 |
|
|
B. Glocker, N. Komodakis, N. Navab, G. Tziritas, N. Paragios
Dense Registration with Deformation Priors
Information Processing in Medical Imaging (IPMI), Williamsburg, VA, USA, July 5-10 2009.
(bib)
|
|
|
B. Glocker, N. Komodakis, N. Paragios, N. Navab
Approximated Curvature Penalty in Non-rigid Registration using Pairwise MRFs
5th International Symposium on Visual Computing (ISVC), Las Vegs, Nevada, USA, Nov 30-Dec 2 2009.
(bib)
|
|
|
A. Khamene, D. Zikic, M. Diallo, T. Boettger, E. Rietzel
A Novel Intensity Similarity Metric with Soft Spatial Constraint for a Deformable Image Registration Problem in Radiation Therapy.
Medical Image Computing and Computer Assisted Intervention (MICCAI), London, UK, September 20-24 2009.
(bib)
|
| 2008 |
|
|
C. Wachinger, B. Glocker, J. Zeltner, N. Paragios, N. Komodakis, M. S. Hansen, N. Navab
Deformable Mosaicing for Whole-body MRI
Medical Image Computing and Computer-Assisted Intervention (MICCAI), New York, USA, September 6-10 2008
(bib)
|
|
|
D. Zikic, B. Glocker, M. S. Hansen, A. Khamene, N. Navab
Construction of Statistical Shape Models from Minimal Deformations
Workshop "Manifolds in Medical Imaging: Metrics, Learning and Beyond" in conjunction with Medical Image Computing and Computer-Assisted Intervention (MICCAI 2008), New York City, NY, USA, September 2008
(bib)
|
|
|
D. Zikic, M. S. Hansen, B. Glocker, A. Khamene, R. Larsen, N. Navab
Computing Minimal Deformations: Application to Construction of Statistical Shape Models.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska (USA), June 24-26, 2008
(bib)
|
|
|
M. S. Hansen, B. Glocker, N. Navab, R. Larsen
Adaptive Parametrization of Multivariate B-splines for Image Registration
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska (USA), June 24-26, 2008
(bib)
|
|
B. Glocker, N. Paragios, N. Komodakis, G. Tziritas, N. Navab
Optical Flow Estimation with Uncertainties through Dynamic MRFs
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska (USA), June 24-26, 2008
(bib)
|
|
|
B. Glocker, N. Komodakis, G. Tziritas, N. Navab, N. Paragios
Dense Image Registration through MRFs and Efficient Linear Programming
Medical Image Analysis, Volume 12, Issue 6, December 2008, pp. 731-741
(bib)
|
|
|
D. Zikic, M. Groher, A. Khamene, N. Navab
Deformable Registration of 3D Vessel Structures to a Single Projection Image.
SPIE Medical Imaging, San Diego, California, USA, 16-21 February 2008
(bib)
|
| 2007 |
|
B. Glocker, N. Komodakis, N. Paragios, G. Tziritas, N. Navab
Inter and Intra-Modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming
Information Processing in Medical Imaging (IPMI), Kerkrade, Netherlands, July 2-6 2007. This work won the Erbsmann prize for the best oral presentation among all first-time presenters at IPMI 2007.
(bib)
|
|
|
A. Khamene, L. Schwarz, D. Zikic, F. Azar, E. Rietzel, N. Navab
A Unified and Efficient Approach for Free-form Deformable Registration
IEEE 11th International Conference on Computer Vision (ICCV), Rio de Janeiro, Brasil, November 2007
(bib)
|
|
|
B. Glocker, N. Komodakis, N. Paragios, Ch. Glaser, G. Tziritas, N. Navab
Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation
Medical Image Computing and Computer-Assisted Intervention (MICCAI), Brisbane, Australia, October 29 - November 2 2007
(bib)
|
|
|
A. Martinez-Möller, D. Zikic, R. Botnar, R. Bundschuh, W. Howe, S. I. Ziegler, N. Navab, M. Schwaiger, S. Nekolla
Dual Cardiac-Respiratory Gated PET: Implementation and Results from a Feasibility Study
European Journal of Nuclear Medicine and Molecular Imaging 2007;34:1447-1454.
(bib)
|
| 2006 |
|
|
D. Zikic, W. Wein, A. Khamene, D.-A. Clevert, N. Navab
Fast Deformable Registration of 3D-Ultrasound Using a Variational Approach
Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), Copenhagen, Denmark, October 2006
(bib)
|
|
|
D. Zikic, A. Khamene, N. Navab
Intensity-Unbiased Force Computation for Variational Motion Estimation.
Workshop on Image Registration in Deformable Environments in conjunction with the British Machine Vision Conference (BMVC 2006), Edinburgh, Scotland, September 2006
(bib)
|
