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

Abstract

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.

Publications

2016
	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)
2015
	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)
2014
	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)
2013
	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)
2010
	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)
2009
	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)

Team

Contact Person(s)

Dr. Maximilian Baust

Dr. Stefanie Demirci

Working Group

Dr. Eng. Christiane Foerster

Prof. Dr. Hans Henning Eckstein

Michael Emmersberger

Dipl.-Ing. Univ. Moritz Frenzel

Prof. Dr. Wolfgang Wall

Alumni

Guy Lejeune

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.

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.