ELI2600 Medical signals and images Course description

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.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

Knowledge

The student is familiar with:

• different types of materials and their qualities through practical material processing
• methods and procedures for sound HSE practice in material processing of wood, metal, ceramics, concrete and textiles and their associated supporting materials

Skills

The student is capable of:

• using machinery and materials in the practice workshops in accordance with the department’s HSE regulations and instructions from supervisors
• using basic design terminology in written and oral communication

Competence

The student is capable of:

• producing ideas for design solutions by communicating them through physical models and material samples
• practising responsible HSE conduct and good workshop culture in cooperation with fellow students and supervisors
• actively using professional supervision and discussion as learning and development tools

No requirements over and above the admission requirements.

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

Lectures and exercises including use of MATLAB

Mandatory deliveries:

4 exercises

1 ultrasound lab

1 diagnostic group work

Each task should take about 5 hours of work

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.

Approved calculator

Graded scale A-F

One internal sensor. External sensor is used regularly.

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

Admission to the programme.

The following coursework is compulsory and must be approved before the student can take the exam:

• Participation in all HSE-related lectures and all learning activities related to the use of machinery and materials, as specified in the course calendar.