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
Tutor: Peter Maday
Module IN2273: 2 SWS, 3 ECTS
This lecture will be in English
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Time & Location
Lecture:
Thursdays 9:15 - 10:45 am
Thursdays 8:30 - 11:00 am
Room MI 01.06.020
First lecture: 15/10/2015
Exam: Feb 4, 2016
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
- Class on Jan 21, 2016 is canceled !
- Class on Jan 14, 2016 is canceled !
- New time in December (Thursdays 8:30 - 11am)
- New time in November (Thursdays 8:30 am - 10.00 am and 10.30 am - 12.00 noon)
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Exam
The exam will be conducted in form of
Elevator Pitches (2 minutes) with subsequent discussion round. It is possible to team up, but topics have to be shared such that each team member is able to give an own elevator pitch that is substantially different from the others. Each team member will also be examined on his/her own.
Each student is asked to choose a
random topic in the context of interventional imaging and image processing. It is expected that chosen topics
advance the course level, e.g.
- a novel imaging modality that could have potential impact on image guidance for surgery and/or interventions
- a new aspect on conventional imaging modalities with large potential for interventional guidance or visualization
- cutting-edge research results in computer aided interventions (CAI) building up on the fundamentals given in the IIIP course
In contrast to scientific presentations, elevator pitches aim at
presenting the core idea in a minimum amount of time without or with minimum support of digital media. The effect of such elevator pitches is usually measured upon whether the presenter has gained enough interest among the audience. In order to achieve this goal, you are free to use
any sort of additional material (e.g. drawings or pins on white board, very simple mockups/prototypes, interaction with audience). Although the
use of digital media is not recommended, you are of course free to show videos and images. But please keep in mind that the effect of these may be limited.
In case a student is not able to find a suitable topic, we will assign a topic to her/him (potentially also assigning another team). You are also welcome to contact the course instructors at any time (via email) to discuss your topic selection with them. Please understand that due to our other duties we may offer you remote chats (e.g. Skype, Google Hangout).
Deadlines listed below are hard. If you miss a deadline without notice, you fail the course.
| Deadline | Topic | Action |
|---|
| 14.1.2016 | Topics Overview | Send selected topic to stefanie.demirci@tum.de |
| 27.1.2016 | Pitch Plan | Send a detailed pitch plan (including timing and specification of additional material) to stefanie.demirci@tum.de |
| 04.2.2016 | Elevator Pitches |
| Order | Student | Topic |
|---|
| 1 | Ahmad, Tamoor | 3D Ultrasound Guided Biopsy |
| 2 | Anton, Mario | Reduction of Image Artefacts |
| 3 | Balakrishnan, Sathish | Does interventional imaging improve patient specific bone health ? |
| 4 | Estrada, Edgar Santiago | Cardiac C-arm CT |
| 5 | Fokuhl, Julia | Robotic-assistance for coronary interventions (CorPath? Robotic PCI) |
| 6 | Hamad, Mahdi | MRI-US Fusion Targeted Biopsies |
| 7 | Jimenez Sanchez, Amelia | Breast Examination in Ultrasound Images |
| 8 | Kalim, Faisal | Interventional Cardiac Magnetic Resonance |
| 9 | Kewlani, Laveena | Intracardiac Echocardiography (ICE) During Interventional & Electrophysiological Cardiac Catheterization |
| 10 | Khrutska, Olga | Image guidance in the field of radio frequency ablation |
| 11 | Luque González, Antonio | Optical Coherence Tomography (OCT) Angiography |
| 12 | Matl, Stefan | Flow Diverters |
| 13 | Navarro Avila, José | Wearable Computer technology (google glass) in the operating room |
| 14 | Nieminen, Tuomas | Sensor-attached Stents |
| 15 | Nikolaev, Vitaly | Evaluation of a simulator for endoscopic sinus surgery (ESS) |
| 16 | Page Vizcaino, Josue | Optoacustic (Photoacustic) Tomography |
| 17 | Papathanasis, Charalampos | Intravascular Ultrasound technique (IVUS) |
| 18 | Paschali, Magdalini | Doppler Ultrasound: Principles and Interventional Application |
| 19 | Pilehvar, Shabnam | Doppler Ultrasound in Gynaecology |
| 20 | Ramadani, Ardit | Robotic Snake Endoscopy for NOTES |
| 21 | Saint-Hill Febles, Yadira | freehandSPECT |
| 22 | Saleh, Mahdi | Cooperative Robotic Gamma Imaging |
| 23 | Sarasúa Canedo Arguelles, Ignacio | Tracking of medical instruments in endoscopic images |
| 24 | Stelzl, Nina | 3D reconstruction of endoscopic images |
| 25 | Tucker, Emerson | Cardiac Flow Quantification with C-arms |
| 26 | Waldmannstetter, Diana | Near infrared fluorescence for image-guided cancer surgery |
| 27 | Zakharov, Sergey | CFD analysis of hemodynamics for diagnosis and treatment prediction |
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
