ProjectAngioReg

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Registration of Angiographic Images

Registration of Angiographic Images

In medical collaboration with:
Institut fuer klinische Radiologie, Klinikum Grosshadern, LMU

Scientific Director: Nassir Navab and Martin Groher

Contact Person(s): Martin Groher

In industrial collaboration with:
Siemens Medical Solutions

Keywords: Registration / Visualization, Medical Imaging, Computer-aided Interventions

Abstract

Angiographic images visualize vascular structure in different modalities like X-Ray, CT, or MR data sets. In many medical applications, a registration and proper visualization of the data sets, especially the vasculature is useful for a better navigation. The focus of this project lies on 2D/3D registration of angiographic data where intensity-based, feature-based, and hybrid approaches are evaluated, the latter two of them requiring an accurate 2D and 3D segmentation of the data. The main clinical partner is the radiology department of the Universitätsklinikum Großhadern (Ludwig-Maximilian Universität München) , industrial partner is Siemens Medical Solutions, Forchheim.

Publications

2015
S. Virga, V. Dogeanu, P. Fallavollita, R. Ghotbi, N. Navab, S. Demirci
Optimal C-arm Positioning for Aortic Interventions
Bildverarbeitung fuer die Medizin (BVM 2015), Luebeck, Germany, March 2015 (bib)
S.-L. Lee, S. Balocco, C. Gatta, S. Demirci, G. A. Tangen
Editorial of the special issue STENT
Computerized Medical Imaging and Graphics, Special Issue STENT, In Press, 2015 (bib)
2013
S.-L. Lee, S. Demirci, P. Radeva, G. Unal
Editorial Note
Computerized Medical Imaging and Graphics, vol. 38, pages 69-69, 2014 (bib)
T. Aksoy, G. Unal, S. Demirci, N. Navab, M. Degertekin
Template-based CTA to X-ray Angio Rigid Registration of Coronary Arteries in Frequency Domain with Automatic X-Ray Segmentation
Medical Physics, Volume 40, Issue 10, October 2013, Pages 1903-1918 (bib)
S. Demirci, F. Manstad-Hulaas, N. Navab
Interventional 2D-3D Registration in the Presence of Occlusion
XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, IFMBE Proceedings Volume 41, 2014, pp 277-280. (bib)
S. Demirci, M. Baust, O. Kutter, F. Manstad-Hulaas, H-H. Eckstein, N. Navab
Disocclusion-based 2D-3D Registration for Aortic Interventions
Computers in Biology and Medicine, Volume 43, Issue 4, 1 May 2013, Pages 312-322 (bib)
T. Aksoy, S. Demirci, M. Degertekin, N. Navab, G. Unal
Template-based CTA X-ray Angio Rigid Registration of Coronary Arteries in Frequency Domain
Proc. SPIE 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, 867127, March 2013 (bib)
2009
S. Demirci, F. Manstad-Hulaas, N. Navab
Extracting a Purely Non-Rigid Deformation Field of a Single Structure
Proceedings of Bildverarbeitung fuer die Medizin (BVM 2009), Heidelberg, Germany, March 2009 (bib)
S. Demirci, F. Manstad-Hulaas, N. Navab
Quantification of Abdominal Aortic Deformation after EVAR
Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 72611U, February 2009 (bib)
M. Groher, D. Zikic, N. Navab
Deformable 2D-3D Registration of Vascular Structures in a One View Scenario
IEEE Trans. Med. Imag., 28 (6), pp. 847-860 (bib)
2008
S. Demirci, O. Kutter, F. Manstad-Hulaas, R. Bauernschmitt, N. Navab
Advanced 2D-3D Registration for Endovascular Aortic Interventions: Addressing Dissimilarity in Images
Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-guided Procedures, and Modeling, 69182S, February 2008 (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)
N. Navab, M. Groher
Novel Navigation and Advanced Visualization Techniques for Abdominal Catheterization
Hospital Imaging and Radiology Europe, 2 (4), pp. 29-30, Feb. 2008 (bib)
2007
M. Groher, F. Bender, R.T. Hoffmann, N. Navab
Segmentation-driven 2D-3D Registration for Abdominal Catheter Interventions
Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2007, Brisbane, Australia, October 29 - November 2 2007, LNCS 4792, pp. 527-535 (bib)
M. Groher, T. F. Jakobs, N. Padoy, N. Navab
Planning and Intraoperative Visualization of Liver Catheterizations: New CTA Protocol and 2D-3D Registration Method
Academic Radiology 14 (11), pp.1324-1339. Special issue of MICCAI 2006 (bib)
M. Groher, R.T. Hoffmann, C. J. Zech, M. Reiser, N. Navab
An Efficient Registration Algorithm for Advanced Fusion of 2D/3D Angiographic Data
in Proceedings of Bildverarbeitung fuer die Medizin (BVM 2007), Munich, Germany, March 2007 (bib)
2006
M. Groher, T. F. Jakobs, M. Reiser, N. Navab
Advanced 2D-3D Registration Method for Transarterial Chemoembolizations
5. Jahrestagung der Deutschen Gesellschaft für Computer-und Roboter-Assistierte Chirurgie (CURAC 2006), Hannover, Germany, September 2006 (bib)
M. Groher, N. Padoy, T. F. Jakobs, N. Navab
New CTA Protocol and 2D-3D Registration Method for Liver Catheterization
Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), Copenhagen, Denmark, October 2006 (bib)
2005
M. Groher, T. F. Jakobs, N. Padoy, N. Navab
Towards a Feature-based 2D-3D Registration Method of CTA and 2D Angiograms for Liver Tumor Chemoembolizations
4. Jahrestagung der Deutschen Gesellschaft für Computer-und Roboter-Assistierte Chirurgie (CURAC 2005), Berlin, Germany, September 2005 (bib)

Team

Contact Person(s)

Martin Groher
Dr. Martin Groher

Working Group

Darko Zikic
Darko Zikic
Martin Groher
Dr. Martin Groher
Nassir Navab
Prof. Dr. Nassir Navab
Stefanie Demirci
Dr. Stefanie Demirci

Alumni

Frederik Bender
Frederik Bender
Nicolas Padoy
Dr. Nicolas Padoy
Selen Atasoy
Dr. Selen Atasoy

Location



Technische Universität München
Institut für Informatik / I16
Boltzmannstr. 3
85748 Garching bei München

Tel.: +49 89 289-17058
Fax: +49 89 289-17059
Visit our lab at Garching.



Ludwig-Maximilians-Universität München
Campus Grosshadern
Marchioninistrae 15
81377 München

Lab - Room: 4K U1 912
Tel.: +49 89 7095 4606
Visit our lab at Klinikum Grosshadern.



internal project page

Please contact Martin Groher for available student projects? within this research project.

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