Course - Signal Processing in Ultrasound Imaging - MEDT4165
Signal Processing in Ultrasound Imaging
About
About the course
Course content
The course teaches theoretical and practical use of ultrasound imaging, with emphasis on system analysis and signal processing. The main focus is medical applications.
Learning outcome
Knowledge:
- Knowledge about signal processing
- Knowledge about the physics and implementation of ultrasound image formation
- Knowledge about methods for representing dynamic image information
- Knowledge about the mathematical model for pulse-echo imaging systems based on signals in space and time
- Knowledge about the effects of limited bandwidth and sampling in imaging
- Knowledge about the ultrasound signal processing chain from transmitted signal to displayed image
- Knowledge about dynamic representation of images using multi-dimensional Fourier analysis
- Knowledge about power spectrum and autocorrelation estimation from Doppler signals
Skills:
- Skills to design a practical ultrasound imaging system
- Skills to generate ultrasound images from raw channel data
- Skills to implement signal processing for estimating movement of objects with ultrasound
- Skills to perform numerical calculations, visualization, and presentation of results in Matlab and/or Python
General knowledge:
- Programming and practical signal processing
- Be able to evaluate tradeoffs and justify design choices
- Use technical and precise language for physics and signal processing used in ultrasound imaging
Learning methods and activities
Lectures will be given throughout the whole semester. Lectures, laboratory exercises, programming and theoretical exercises. Mandatory exercises: 6 out of 10 exercises must be approved to be allowed to take the final exam. Approved exercises are valid until the end of the next year of study.
Compulsory assignments
- Exercises
Further on evaluation
The written exam counts 100% of the final grade. During the course, 10 exercises will be given, of which 6 need to be approved in order to take the exam. An exercise is approved if the score is higher than 50%. You are allowed to retake the exam with approved exercises from the last year of study. Re-sit examination is arranged as an oral exam in august.
Recommended previous knowledge
Basic understanding of mathematics, physics, and signal processing. Experience with Matlab or Python is an advantage.
Calculus 1-4, TFY4115 Physics, TTT4120 Digital signal processing, or similar background.
Course materials
Textbook and/or lecture notes will be announced at the beginning of the semester.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| TTK4165 | 7.5 sp | Autumn 2017 |
Subject areas
- ICT and Mathematics
- Medical Technology
- Medical Physics
- Medical Computer Science
- Biomedical Engineering
- Telecommunications
- Biophysics and Medical Technology
- Biophysics
- Engineering Cybernetics
- Technological subjects