Signal Processing in Ultrasound Imaging

The course includes the use of signal theory and signal processing in ultrasound imaging. The main focus is medical applications, but also technical applications in aquaculture, oil and gas will be covered.

Knowledge:
- Mathematical model for pulse-echo imaging systems based on signals in space and time.
- Spatial/temporal resolution; effects of limited bandwidth and sampling.
- Description of dynamic images by multi-dimensional Fourier analysis.
- Practical reconstruction algorithms for 2D and 3D imaging.
- Use of grayscale / color graphic representation of dynamic image information.
- Estimation of power spectrum and autocorrelation applied to ultrasonic Doppler signals.

Skills:
- Numerical simulations, visualization, and presentation of results in Matlab.
- Data acquisition and storage of medical image data.
- Implementation of signal processing methods in Matlab.

General skills:
- Use of imaging technology in modern medicine
- Communication in interdisciplinary projects

Lectures, laboratory demonstrations, computer exercises, paper exercises. Students are free to choose Norwegian or English for written assessments. Postponed/repeated exams may be oral.