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
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Time & Location
Lecture:
Thursdays 12:15 - 13:45
Room MI 03.13.010 and Hörsaal E.126 at IMETUM
First lecture: 19/10/2017
Exam: 08/02/21018 1pm (30 minutes during class)
Repeat Exam: none
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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.)
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News
- Classes on Dec 21, 2017 and Jan 11, 2018 will be held in Hörsaal E.126 at IMETUM. Please also notice the time change ( 11am - 2pm ).
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Exam
Course Schedule
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
- T. Buzug, Computed Tomography, Springer
- A.C. Kak, M. Slaney, Principles of Computerized Tomographic Imaging, SIAM, available online at: http://www.slaney.org/pct/
- G.L. Zeng, Medical Image Reconstruction: A Conceptual Tutorial, Springer
- H. Turbell, Cone-Beam Reconstruction Using Filtered Backprojection , PhD thesis, Linköping University, Sweden, 2001, available online at http://www2.cvl.isy.liu.se/Research/Tomo/Turbell/phd.pdf
- K. Wiesent et al., Enhanced 3-D-Reconstruction Algorithm for C-Arm Systems Suitable for Interventional Procedures, TMI 2000, available online at http://campar.cs.tum.edu/files/teaching/2012ws/IIIP/Wiesent_TMI_2000.pdf
Geometry calibration of C-arm scanners
- R. Hartley, A Zisserman: Multiple View Geometry in Computer Vision, Cambridge University Press
Interesting web links
