Course syllabus for Medical imaging systems

The course syllabus contains changes
See changes

Course syllabus adopted 2022-02-17 by Head of Programme (or corresponding).

Overview

  • Swedish nameMedicinska bildsystem
  • CodeEEN180
  • Credits7.5 Credits
  • OwnerTKMED
  • Education cycleFirst-cycle
  • Main field of studyBiomedical engineering
  • ThemeMTS 1.5 c
  • DepartmentELECTRICAL ENGINEERING
  • GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail

Course round 1

  • Teaching language Swedish
  • Application code 73120
  • Maximum participants80
  • Block schedule
  • Open for exchange studentsNo
  • Only students with the course round in the programme overview.

Credit distribution

0122 Laboratory 3 c
Grading: UG		 3 c
0222 Examination 4.5 c
Grading: TH		 4.5 c
  • 14 Jan 2023 am J
  • 03 Apr 2023 pm J
  • 23 Aug 2023 pm J

In programmes

Examiner

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Eligibility

General entry requirements for bachelor's level (first cycle)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Specific entry requirements

The same as for the programme that owns the course.
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Course specific prerequisites

EEN080 - Introductory course in biomedical engineering and SEE120 - Medical image processing.

Aim

The aim of this course is to be able to explain the engineering aspects of both contemporary and state-of-the-art technologies used to create medical images. The aim is to learn how raw data is formed, collected and reconstructed into images in commonly used imaging systems (CT, x-ray, SPECT, PET, MRI, ultrasound), and learn to implement and execute simple versions of the reconstruction algorithms in code. In addition, the aim is to be able to explain the difference in data formation between the different imaging systems and how the different systems are used in the clinic. The student is expected to explain and give examples of how medical images are used by physicians to confirm and characterise a medical condition, plan treatment, and to assess response to treatment.

In addition, the course aims to develop the students’ skills in report writing, MATLAB or Python programming, as well as develop their knowledge and insights in the role of medical imaging technology in today’s society.

Learning outcomes (after completion of the course the student should be able to)

- Describe the physical and biological basis of a range of contemporary and state-of-the-art medical image formation technologies;

- Describe and implement the techniques and algorithms used in imaging technologies to generate/form images;

- Visualise raw and reconstructed medial image data;

- Compare and contrast competing image formation algorithms;

- Implement several image reconstruction algorithms in software;

- Explain the origin of image artifacts and effect on images;

- Describe applications of the different imaging technologies and explain their limitations (e.g. for the detection and characterisation of abnormal tissue);

- Discuss responsibility and liability issues in how medical images are read and interpreted to make clinical decisions;

- Motivate the importance of medical imaging in our society today and in the future.

Content

This course covers the physical and engineering aspects of a range of contemporary and state-of-the-art technologies used for generating medical images. These include:

- X-ray imaging: imaging physics, technology, detectors, spectra, amplifiers, computerized tomography, image reconstruction algorithms, image artifacts.

- Nuclear medicine imaging: Imaging physics, technology, detectors, single photon emission computed tomography (SPECT), positron emission tomography (PET), image reconstruction algorithms, image artifacts.

- Magnetic resonance imaging (MRI): Imaging physics, technology, instrumentation, image reconstruction algorithms, image artifacts.

- Ultrasound imaging: Imaging physics, technology, instrumentation, image reconstruction algorithms, image artifacts.

- Guest lectures covering the technology and use of novel and less common imaging systems.

- The course also includes clinical applications of medical imaging technologies, e.g for cardiac and brain imaging.

Organisation

Lectures (including guest lectures given by industry and the health-care sector), calculation exercises, and practical laboratory sessions.

Literature

- J. L. Prince, J. M. Links, Medical Imaging Signals and Systems, Prentice Hall, 2006.

- M. Chappell, Principles of Medical Imaging - From Signals to Images, Springer 2019 (available as e-book via the Chalmers library).

Examination including compulsory elements

The theoretical aims will be examined by a graded exam at the end of the course, and the practical skills are examined by three mandatory laboratory sessions. Requirements to pass the course are an approved final exam, attendance to all laboratory sessions with approved lab reports. The final grade of the course is given by the grade of the exam and laboratory scores contribute to grade above pass.

The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.

The course syllabus contains changes

  • Changes to course rounds:
    • 2022-04-05: Block Block C added by Ida H
      [Course round 1]