course-details-portlet

TTK4165

Signal Processing in Ultrasound Imaging

Credits 7.5
Level Second degree level
Course start Spring 2017
Duration 1 semester
Language of instruction English
Examination arrangement Written examination

About

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, but also technical applications in aquaculture, oil and gas will be covered.

Learning outcome

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

Learning methods and activities

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

Compulsory assignments

  • Exercises

Required previous knowledge

Basic knowledge in mathematics, physics, and signal processing

Course materials

Textbook and/or lecture notes will be announced at start of the semester.

Credit reductions

Course code Reduction From
MEDT4165 7.5 sp
SIE3067 7.5 sp
This course has academic overlap with the courses in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Biophysics
  • Biophysics and Medical Technology
  • Biomedical Engineering
  • ICT and Mathematics
  • Medical Physics
  • Medical Computer Science
  • Medical Technology
  • Engineering Cybernetics
  • Technological subjects
  • Telecommunications

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Engineering Cybernetics

Examination

Examination

Examination arrangement: Written examination

Ordinary examination - Spring 2017

Written examination
Grade Letters Weighting 100/100 Date 2017-05-31 Time 09:00 Duration 4 timer Place and room Not specified yet.

Examination arrangement: Oral examination

Re-sit examination - Summer 2017

Oral examination
Grade Letters Weighting 100/100 Date 2017-08-14

All about examinations at NTNU