course-details-portlet

TTK4165 - Signal Processing in Ultrasound Imaging

About

Examination arrangement

Examination arrangement: Written examination
Grade: Letters

Evaluation Weighting Duration Grade deviation Examination aids
Written examination 100/100 4 timer

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 To
MEDT4165 7.5
SIE3067 7.5
More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2017

Language of instruction: English

-

Subject area(s)
  • 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: Lecturer(s):

Department with academic responsibility
Department of Engineering Cybernetics

Examination

Examination arrangement: Written examination

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD Written examination 100/100 2017-05-31 09:00
Room Building Number of candidates

Examination arrangement: Oral examination

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Summer KONT Oral examination 100/100 2017-08-14
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

More on examinations at NTNU