Course - Signal Processing in Ultrasound Imaging - MEDT4165
Signal Processing in Ultrasound Imaging
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About the course
Course content
The course includes the use of signal theory and signal processing in ultrasound imaging. The main focus is medical applications.
Learning outcome
Knowledge:
- Know basic signal processing, FIR-filter design and application
- Know the physics of ultrasound propagation and scattering relevant for signal processing
- Understand the use of grayscale / color graphic representation of dynamic image information
- Know the mathematical model for pulse-echo imaging systems based on signals in space and time
- Know the effects of limited bandwidth and sampling on spatial and temporal resolution
- Know the ultrasound signal processing chain from transmitted signal to displayed image
- Know techniques for image formation
- Describe dynamic images using multi-dimensional Fourier analysis
- Estimate power spectrum and autocorrelation from ultrasonic Doppler signals
Skills:
- Ultrasound acquisition design and parameter optimization
- Produce ultrasound images from raw channel data
- Estimate blood flow velocities using ultrasound recordings
- Perform numerical simulations, visualization, and presentation of results in Matlab
General knowledge:
- Programming and practical signal processing
- Be able to evaluate tradeoffs and justify design choices
- Use technical and precise language.
Learning methods and activities
Semester-based lectures through the whole semester. Lectures, laboratory exercises, programming and theoretical exercises. Mandatory exercises: 8 out of 12 exercises must be approved to be allowed to take the final exam. The midterm exercise counts as one exercise. 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, 12 exercises will be given, of which 8 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 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