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

THIS WEBPAGE IS DEPRECATED - please visit our new website

Picture of me

Dipl.-Inf. Univ. Frederik Bender

Clinical Collaboration Manager Europe (Innovations)
Siemens AG, Healthcare Sector AX

Diploma Thesis


Segmentation, 2D-3D Registration, and Uncertainty Propagation for Dynamic Roadmapping in Angiographic Interventions


Minimal invasive catheter-guided interventions play an important role in most hospitals all over the world. During the treatment physicians have to rely on 2D information that is acquired through a fluoroscopic imaging device. In those fluoroscopic images, catheter, bone structures, and (if contrast agent added) blood vessels are visualized in real-time. Those low resolution images can be enhanced by high resolution DSAs where only vessel structures are visible. In difficult interventions these 2D views might not be adequate and it is challenging to navigate the catheter to a region of interest. In this thesis we present a method that allows the physician to use information from a pre-operatively taken 3D CTA scan during the intervention. In the first part we introduce an innovative approach for 2D/3D registration which forms the basis for the second part of the thesis, the development of an estimation procedure to resolve the 3D location of the catheter tip in real-time. This transfers the navigation process to the three-dimensional space and leads to a faster and smoother workflow.


Diploma Thesis - Download as PDF

Research Projects I Contributed To In The Past

Registration of Angiographic Images

Registration of Angiographic Images

Angiographic images visualize vascular structure in different modalities like X-Ray, CT, or MR data sets. In many medical applications, a registration and proper visualization of the data sets, especially the vasculature is useful for a better navigation. The focus of this project lies on 2D/3D registration of angiographic data where intensity-based, feature-based, and hybrid approaches are evaluated, the latter two of them requiring an accurate 2D and 3D segmentation of the data. The main clinical partner is the radiology department of the Universitätsklinikum Großhadern (Ludwig-Maximilian Universität München) , industrial partner is Siemens Medical Solutions, Forchheim.


C. Schulte-zu-Berge, M. Salehi, F. Bender, W. Wein
Ultrasound Decompression for Large Field-of-View Reconstructions
Eurographics Workshop on Visual Computing in Biology and Medicine 2018, Granada, Spain, September 2018 (bib)
F. Bender, M. Groher, A. Khamene, W. Wein, H. Heibel, N. Navab
3D Dynamic Roadmapping for Abdominal Catheterizations
Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2008, New York, USA, September 6-10 2008 (bib)
M. Groher, F. Bender, R.T. Hoffmann, N. Navab
Segmentation-driven 2D-3D Registration for Abdominal Catheter Interventions
Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2007, Brisbane, Australia, October 29 - November 2 2007, LNCS 4792, pp. 527-535 (bib)

Title: -none-
Circumference of your head (in cm):  
Firstname: Frederik
Middlename: Tobias
Lastname: Bender
Picture: fred_icon.png
Birthday: 03.10.1980
Nationality: Germany
Groups: Registration/Visualization, Segmentation, Medical Imaging, Computer-Aided Surgery, 3D Information Presentation
Position: Diploma Thesis
Status: Alumni
Emailbefore: benderf

Edit | Attach | Refresh | Diffs | More | Revision r1.13 - 23 Nov 2009 - 10:52 - FrederikBender

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif