University of Heidelberg
BIOQUANT

QuantVessel

Quantification of the Morphology of Human Vessels from 3D Tomographic Image Data (DFG Project)

Development of model-based approaches for accurate quantification of the 3D morphology of human blood vessels from 3D tomographic images (e.g., 3D CTA, 3D MRA). The approaches combine 3D cylindrical intensity models with incremental model fitting. The main application domain is the quantification of the aortic arch and its main bifurcating branches for improved operation planning using stent grafts.

 

Link:

Presentation of QuantVessel at the DFG exhibition 2012 in the German Parliament

People:

PD Dr. Karl Rohr, Dr. Stefan Wörz, Andreas Biesdorf, Simon Eck, Wei Liao, William J. Godinez, and students

Cooperation:

Dr. med. Hendrik von Tengg-Kobligk and Prof. Dr. med. Hans-Ulrich Kauczor (Dept. of Diagnostic and Interventional Radiology at the Heidelberg University Hospital and Dept. of Radiology at the German Cancer Research Center (DKFZ))

Prof. Dr. med. Dittmar Böckler (Dept. of Vascular and Endovascular Surgery at the Heidelberg University Hospital)

Funding:

German Research Foundation (Deutsche Forschungsgemeinschaft, DFG)

Selected Publications:

S. Wörz, H. von Tengg-Kobligk, V. Henninger, F. Rengier, H. Schumacher, D. Böckler, H.U. Kauczor, and K. Rohr. (2010) 3D Quantification of the Aortic Arch Morphology in 3D CTA Data for Endovascular Aortic Repair, IEEE Transactions on Biomedical Engineering 57:10, 2359-2368

A. Biesdorf, K. Rohr, H. von Tengg-Kobligk, and S. Wörz. (2010) Combined Model-Based Segmentation and Elastic Registration for Accurate Quantification of the Aortic Arch, Proc. 13th Internat. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI'2010), Beijing, China, 20-24 Sept. 2010, Lecture Notes in Computer Science 6361, T. Jiang et al. (Eds.), Springer-Verlag Berlin Heidelberg 2010, 444-451

A. Biesdorf, S. Wörz, T. Müller, T.F. Weber, T. Heye, W. Hosch, H. von Tengg-Kobligk, and K. Rohr. (2011) Model-Based Segmentation and Motion Analysis of the Thoracic Aorta from 4D ECG-Gated CTA Images, Proc. 14th Internat. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI'2011), Toronto, Canada, 18-22 Sept. 2011, Lecture Notes in Computer Science 6891, Part I, G. Fichtinger et al. (Eds.), Springer-Verlag Berlin Heidelberg 2011, 589-596

 

Contact: E-Mail (Last update: 14/07/2015)