EPN-V2

ELI2600 Medical signals and images Course description

Course name in Norwegian
Medisinske signaler og bilder
Weight
10.0 ECTS
Year of study
2021/2022
Course history
Curriculum
SPRING 2022
Schedule
  • Introduction

    The course describe the analysis and processing of signals in the frequency domain and analysis of systems for signal processing. Images are two-dimensional signals. The course also include the acquisition of image data, reconstruction of images and basic image processing of images for medical diagnostics.

  • Recommended preliminary courses

    MEK1000 Mathematics 1000, ELPE1300 Electric circuits, ELTS2100 Electronics and ELI2300 Dynamic systems.

  • Required preliminary courses

    No requirements over and above the admission requirements.

  • Learning outcomes

    After finishing this course the student should have the following outcome:

    Knowledge:

    Understand the connection between the impulse response and frequency response

    Understand that images are 2D signals and can be analysed accordingly

    Understand the connection between resolution, impulse response, point spread function and frequency response.

    Know how to describe wave propagation, reflection, refraction and attenuation of waves

    Understand how an ultrasound image is formed and how the pulses are transmitted and recorded.

    Understand how x-rays are generated and how an X-ray image is formed.

    Understand how tomographic data are recorded and how CT-images are reconstructed.

    Understand the physical principals of magnetic resonance and how images are formed.

    Skills

    Can describe and analyse signals with the use of the Fourier transform.

    Be able to frequency analyse signals and design optimal processing

    Can digitize signals by sampling and AD-conversion.

    Can explain the difference between diagnostic and technical image quality.

    Understand how images are reconstructed fro measured data.

    Can use an ultrasound scanner and chose optimal settings.

    General competence:

    Be able to process a measured signal to optimize information content.

    Be able to evaluate technical quality of an image in order to optimize diagnostic quality

  • Content

    The course includes the following topics:

    • The Fourier transform and signal processing
    • Ultrasound imaging
    • X-ray imaging
    • Magnetic resonance imaging
    • Image reconstruction and tomographic reconstruction.
  • Teaching and learning methods

    Lectures and exercises including use of MATLAB

  • Course requirements

    Mandatory deliveries:

    4 exercises

    1 ultrasound lab

    1 diagnostic group work

    Each task should take about 5 hours of work

  • Assessment

    Individual written exam 3 hours.

    The result of the exam can be appealed.

    In the event of a resit or rescheduled exam, an oral examination may be used instead. In case an oral exam is used, the examination result cannot be appealed.

  • Permitted exam materials and equipment

    Approved calculator

  • Grading scale

    Graded scale A-F

  • Examiners

    One internal sensor. External sensor is used regularly.

    In case of a continuation exam, the exam can be oral with two internal sensors.

  • Course contact person

    Nils Sponheim

  • Overlapping courses

    The course overlap with ELTS2600 by 5ECTS and ELI3520 by 5ECTS