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

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Prediction of Rupture Risk for Abdominal Aortic Aneurysms

Prediction of Rupture Risk for Abdominal Aortic Aneurysms

In medical collaboration with:
Department of Vascular Surgery, Klinikum rechts der Isar (TUM)

In academic collaboration with:
Chair for Numerical Mechanics, Mechanical Engineering (TUM)

Scientific Director: Nassir Navab
Wolfgang A. Wall
Hans-Henning Eckstein

Contact Person(s): Stefanie Demirci
Max Baust

Keywords: Segmentation


An abdominal aortic aneurysm (AAA) describes an enlarged aortic diameter in the abdominal part of the body. Due to weakening rupture of the inner aortic wall layer, blood cells accumulate inside the wall layers and lead to a thrombus. In order to choose a suitable individual treatment, a prediction of rupture risk would be helpful. However, it is not possible to predict the ruputure risk only with quantative parameters extracted out of CT-images such as size and diameter. It is important to also include qualitative predictors like characteristics of the aortic wall and fluid dynamics.
Together with our medical and academic partners, we are interested in creating a model of the aorta and its thrombus in order to do certain calculations on wall stress and fluid dynamic computations. A further integration of other medical imaging devices such as PET/CT and IVUS into the geometrical model can provide more information about biochemical activities inside the aneurysmatic walls.


K. Hofschen, T. Geissler, N. Rieke, C. Schulte-zu-Berge, N. Navab, S. Demirci
Image Descriptors in Angiography
Workshop Bildverarbeitung fuer die Medizin (BVM), March 13-15, 2016. (bib)
D. Volpi, M. H. Sarhan, R. Ghotbi, N. Navab, D. Mateus, S. Demirci
Online Tracking of Interventional Devices for Endovascular Aortic Repair
International Journal of Computer Assisted Radiology and Surgery, June 2015, Volume 10, Issue 6, pp 773-781 (bib)
T. Benz, M. Kowarschik, J. Endres, T. Redel, S. Demirci, N. Navab
A Fourier-Based Approach to the Angiographic Assessment of Flow Diverter Efficacy in the Treatment of Cerebral Aneurysms
IEEE Transactions on Medical Imaging, volume 33, issue 9, pages 1788-1802, September 2014. (bib)
T. Benz, M. Kowarschik, J. Endres, P. Maday, T. Redel, N. Navab
Estimation of Contrast Agent Motion from Cerebral Angiograms for Assessing Hemodynamic Alterations Following Aneurysm Treatment by Flow Diversion
13th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2013), Sevilla, Spain, September 2013 (bib)
F. Manstad-Hulaas, G. A. Tangen, S. Demirci, M. Pfister, S. Lydersen, T. A. Nagelhus Hernes
Endovascular Image-Guided Navigation - Validation of Two Volume-Volume Registration Algorithms
Minimally Invasive Therapy & Allied Technologies 20(5), pp. 282 - 289, 2011 (bib)
S. Demirci, G. Lejeune, N. Navab
Hybrid Deformable Model for Aneurysm Segmentation
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on, pp. 33-36, 2009. (bib)


Contact Person(s)

Maximilian Baust
Dr. Maximilian Baust
Stefanie Demirci
Dr. Stefanie Demirci

Working Group

Christiane Foerster
Dr. Eng. Christiane Foerster
Hans Henning Eckstein
Prof. Dr. Hans Henning Eckstein
Michael Emmersberger
Michael Emmersberger
Moritz Frenzel
Dipl.-Ing. Univ. Moritz Frenzel
Wolfgang Wall
Prof. Dr. Wolfgang Wall


Guy Lejeune
Guy Lejeune


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.

Klinikum rechts der Isar
der Technischen Universitüt München
Ismaninger Str. 22
81675 München

IFL Lab - Room: 01.3a-c
Tel.: +49 89 4140-6457
Fax: +49 89 4140-6458
Visit our lab at Klinikum rechts der Isar.

internal project page

Please contact Stefanie Demirci
Max Baust for available student projects within this research project.

Edit | Attach | Refresh | Diffs | More | Revision r1.1 - 14 Jan 2008 - 11:33 - StefanieDemirci

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