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CM2006 Medical Image Visualization 6.0 credits

Information per course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Termin

Information for Autumn 2025 Start 27 Oct 2025 programme students

Course location

KTH Flemingsberg

Duration
27 Oct 2025 - 12 Jan 2026
Periods
P2 (6.0 hp)
Pace of study

33%

Application code

50721

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Places are not limited

Target group
No information inserted
Planned modular schedule
[object Object]
Schedule
Schedule is not published

Contact

Examiner
No information inserted
Course coordinator
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Teachers
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Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus CM2006 (Autumn 2024–)
Headings with content from the Course syllabus CM2006 (Autumn 2024–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

·       Applications in medical image visualization

·       The visualization pipeline

·       Surface reconstruction and rendering

·       Volume rendering

·       Volume interaction

·       Stereoscopic techniques

The course consists of lectures, laboratories and mathematical exercises. The participants will combine VTK (the Visualization Toolkit) in Python with other libraries. The course also includes introductory labs for students with programming experience but without experience in Python.

Intended learning outcomes

Medical image visualization is a specific area of scientific visualization that is focused on medical applications. Visualization in a medical context is used for different purposes, including diagnosis with radiological data, treatment planning, intraoperative support, data annotation and educational purposes among others.

This course covers the concepts, theories and most used methods used for exploring and interacting with images in medical applications. After completion, the participant will be able to:

·       Understand the different parts of a visualization pipeline

·       Understand the theory of the most used methods for surface and volume rendering

·       Summarize the most used techniques in volume interaction and stereo rendering

·       Design visualization solutions for medical applications

·       Select and adapt the most appropriate methods for image visualization in medical applications

·       Create visualization prototypes using medical images that can be used in medical applications

in order to:

·       understand the complete visualization pipeline in a medical context

·       be able to implement visualization solutions in medical applications

·       have a broad knowledge base that can ease understanding literature in the field

Literature and preparations

Specific prerequisites

Completed degree project 15 credits, 15 credits in mathematics, 15 credits in physics, 6 credits in programming.  Alternatively, 1 year of professional experience in medical technology, technical physics, electrical engineering, or computer science. English 6/B.

Recommended prerequisites

Courses in programming in Python or MATLAB.

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • PRO1 - Project, 6.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

Approved project assignment and participation in at least 90% of the course activities.

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Medical Engineering

Education cycle

Second cycle