Signal Processing in Ultrasound Imaging

The course teaches theoretical and practical use of ultrasound imaging, with emphasis on system analysis and signal processing. The main focus is medical applications.

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

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.