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

Interventional Imaging and Image Processing (IN2273)

The participants will learn the basics of interventional imaging and image processing. The focus of the lecture will be on interventional x-ray imaging technology. The lecture will cover both topics of 2D as well as 3D imaging. We will particularly focus on recent research topics such as cardiac and perfusion imaging in the interventional suite.

Administrative information

Lecturer: Dr. Stefanie Demirci, PD Dr. Markus Kowarschik

Module IN2273: 2 SWS, 3 ECTS

This lecture will be in English

Time & Location


Thursdays 12:15 - 13:45

Room MI 03.13.010

First lecture: 19/10/2017

Exam: tba
Repeat Exam: none


  • Clinical motivation (interventional radiology, neuroradiology, and cardiology)
  • Interventional imaging modalities
  • Basics of x-ray imaging
  • Angiographic imaging in 2D
  • Angiographic imaging in 3D: CT basics, CT reconstruction
  • Current topics (cardiac imaging, perfusion imaging, metal artifact reduction, etc.)



Course Schedule

Date Topic Lecturer Material

List of references

Clinical overview papers

Imaging technology and image processing in general

  • A. Oppelt (Ed.), Imaging Systems for Medical Diagnostics, Publicis Corporate Publishing
  • H. Aichinger et al. (Ed.), Radiation Exposure and Image Quality in X-ray Diagnostic Radiology, Springer
  • T. Deserno (Ed.), Biomedical Image Processing, Springer

Vessel Filtering & Segmentation

  • A. Frangi et al.: Multiscale vessel enhancement filtering. Proc. MICCAI’98. Springer, pp. 130-137
  • D. Lesage et al.: A review of 3D vessel lumen segmentation techniques: Models, features, and extraction schemes. Medical Image Analysis 13 (2009), pp. 819-845
  • A. Frangi et al.: Model-based quantitation of 3-D magnetic resonance angiographic images. IEEE Transactions on Medical Imaging 18.10 (1999), pp. 946-956
  • H. Li et al.: Vessels as 4-d curves: Global minimal 4-d paths to extract 3-d tubular surfaces and centerlines. IEEE Transactions on Medical Imaging 26.9 (2007), pp. 1213-1223

Interventional Image Registration

  • G. Penney et al.: A comparison of similarity measures for use in 2-D-3-D medical image registration. IEEE Transactions on Medical Imaging 17.4 (1998), pp. 586-595
  • S. Demirci et al.: Disocclusion-based 2D-3D registration for aortic interventions. Computers in Biology and Medicine 43.4 (2013), pp. 312-322
  • I. Reinertsen et al.: Validation of vessel-based registration for correction of brain shift. Medical Image Analysis 11.4 (2007), pp. 374-388
  • M. Groher et al.: Deformable 2D-3D registration of vascular structures in a one view scenario. IEEE Transactions on Medical Imaging 28.6 (2009), pp. 847-860
  • K. Rohr et al.: Landmark-based elastic registration using approximating thin-plate splines. IEEE Transactions on Medical Imaging 20.6 (2001), pp. 526-534

Image Visualization

  • K. Engel et al.: Real-Time Volume Graphics, Taylor & Francis Ltd.

Image-guided Interventions

  • T. Peters, K. Cleary (Eds.), Image-guided Interventions, Springer
  • S. Demirci et al.: 3D Stent Recovery from One X-ray Projection, Proc. MICCAI, 2011
  • D. Volpi et al.: Online Tracking of Interventional Devices for Endovascular Aortic Repair, International Journal of Computer Assisted Radiology and Surgery 10(6): 773-781, 2015
  • F. Milletari et al.: Fully automatic catheter localization in C-arm images using l1- Sparse Coding, Proc. MICCAI, 2014

Tomographic image reconstruction

Geometry calibration of C-arm scanners

  • R. Hartley, A Zisserman: Multiple View Geometry in Computer Vision, Cambridge University Press

Interesting web links

Title: Interventional Imaging and Image Processing
Professor: Dr. Stefanie Demirci, Dr. Markus Kowarschik
Type: Lecture
Information: 2 SWS, 3 ECTS Credits (Module IN2273)
Term: 2017WiSe

Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 03 Aug 2017 - 13:29 - StefanieDemirci

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