Estimation of Flow Parameters from X-ray Data In medical collaboration with: Reza Ghotbi In academic collaboration with: Gabor Janiga (Otto-Von-Guericke Universität Magdeburg) Scientific Director: Nassir Navab Contact Person(s): Stefanie Demirci In industrial collaboration with: Markus Kowarschik

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

Abstract

This project focuses on the quantification of blood flow based on 2D and 3D angiographic X-ray image data, which is of particular interest during minimally invasive interventional procedures such as recanalizations of stenotic vessels and embolizations of arteries that feed tumors or vascular malformations in the patient's brain, for example. Our projects cover the evaluation of model-based approaches involving CFD (computational fluid dynamics) simulations as well as methods that aim at estimating the optical flow in the images and deriving quantitative blood flow information from these results.

Videos

A short sequence showing the simulated Bolus Arival Time of contrast agent

Publications

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Team

Contact Person(s)

Dr. Stefanie Demirci

Working Group

Prof. Bjoern Menze

Prof. Dr. Nassir Navab

Dr. Stefanie Demirci

Alumni

Dr. Amin Katouzian

Peter Maday

Dipl.-Tech. Math. Univ. Richard Brosig

Tobias Benz

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.



internal project page

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