TeachingWiSe2014InterventionalImaging

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, Dr. Markus Kowarschik
Tutor: Fausto Milletari

Module IN2273: 2 SWS, 3 ECTS

This lecture will be in English

Time & Location

Lecture:

Thursdays 10.15 am - 11.45 am (Oct - Dec)
Thursdays 9.15 am - 10.15 am and 10.45 am - 11.45 am (Jan)

Room MI 03.13.010

First lecture: 9/10/2014

Content

  • 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.)

News

  • New time in January (Thursdays 9.15 am - 10.15 am and 10.45 am - 11.45 am)
  • Class on Nov 6 has been canceled! The following two sessions on Nov 13 and 20 will start at 9.30am.
  • Please register via TUMonline

Course Schedule

Date Topic Lecturer Material
09.10.2014 Introduction to Interventional Imaging and Image Processing Stefanie Demirci Slides
16.10.2014 Interventional Imaging Modalities: Intravascular Imaging Amin Katouzian Slides
23.10.2014 Overview of Clinical Fields Stefanie Demirci Slides
30.10.2014 Interventional Imaging Modalities: Overview Stefanie Demirci Slides
06.11.2014 cancelled Interventional Imaging Modalities: Angiographic Systems Stefanie Demirci Slides
13.11.2014 (9.30 - 11.45) Interventional Image Processing: Image Filtering Stefanie Demirci Slides
20.11.2014 (9.30 - 11.45) Interventional Image Processing: Image Registration Stefanie Demirci Slides
27.11.2014 Interventional Image Processing: Image Visualization Stefanie Demirci Slides
Source
11.12.2014 Image-guided Interventions: Navigation Concepts Stefanie Demirci Slides
18.12.2014 Image-guided Interventions: Catheter Tracking Fausto Milletari Slides
08.01.2014 Tomographic Imaging Markus Kowarschik Slides
22.01.2014 Tomographic Imaging Markus Kowarschik Slides
29.01.2013 Tomographic Imaging Markus Kowarschik Slides
05.02.2015 Exam  

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

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




TeachingForm
Title: Interventional Imaging and Image Processing
Professor: Dr. Stefanie Demirci, Dr. Markus Kowarschik
Tutors: Fausto Milletari
Type: Lecture
Information: 2 SWS, 3 ECTS Credits (Module IN2273)
Term: 2014WiSe
Abstract:  


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