Interventional Imaging and Image Processing
This Module is offered by TUM Department of Informatics.
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective
IN2273 is a semester module
in English language
at Master’s level
which is offered in winter semester.
This module description is valid to WS 2017/8.
|Total workload||Contact hours||Credits (ECTS)|
- 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.)
After successful completion of this module, participants understand the key concepts of interventional imaging and image processing. They are familiar with minimally invasive procedures and can list well-known challenges associated to imaging and image visualisation. Participants further know state-of-the-art algorithms for digital imaging and image processing.
Learning and Teaching Methods
Block format, 4 lecture units in each second week of the semester
Kak/Slaney, Principles of Computerized Tomographic Imaging, SIAM Buzug, Computed Tomography, Springer Zeng, Medical Image Reconstruction, Springer Oppelt, Imaging Systems for Medical Diagnostics, Publicis Publishing Hartley/Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press Akt. Publikationen zur Herzbildgebung, Perfusionsbildgebung, Metallartefaktkorrektur, Blutflussquantifizierung, etc.
Description of exams and course work
The exam takes the form of a written 60 minutes test. Questions allow to assess acquaintance with concepts of interventional imaging and image processing and to identify ability to conceive appropriate algorithmic solutions to challenging medical scenarios.
The exam may be repeated at the end of the semester.