Reconstruction of Vascular Networks In academic collaboration with: ETH Zürich; University of Zürich; Max Planck Institute for Informatics; Argonne National Laboratory; Northwestern University Scientific Director: Prof. Dr. Bjoern Menze Contact Person(s): Markus Rempfler

Keywords: IBBM: image computing

Abstract

Segmentation of the vasculature from image data is relevant for many biomedical applications and has been subject to research for many years. The reconstruction of the vascular networks, however, remains a difficult task when it comes to low-resolution data. In this project, we address such a reconstruction of cerebrovascular networks from low-resolution microMRA images of mice. We employ methods ranging from state-of-the-art segmentation algorithms for local detection of vessels to discrete optimization techniques to estimate the best network with respect to a probabilistic model.

Pictures

Figure 1: Overview of the reconstruction scheme.

Figure 2: Illustration of the effect of incorporating physiological knowledge on geometrical relations of bifurcations.

Figure 3: Cerebrovascular network reconstructed from a high-resolution microCT of a corrosion casted mouse brain.

Team

Contact Person(s)

M.Sc. Markus Rempfler

Working Group

Prof. Bjoern Menze

M.Sc. Markus Rempfler

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 Markus Rempfler for available student projects within this research project.