Course syllabus

Medicinsk bildanalys
Medical Image Analysis

FMAN30, 7,5 credits, A (Second Cycle)

Valid for: 2016/17
Decided by: Education Board B
Date of Decision: 2016-03-29

General Information

Elective for: BME4-sbh, BME4-br, C5, D4, E4-mt, F4, F4-bm, Pi4-bg, Pi4-biek
Language of instruction: The course will be given in English on demand


The main aim of the course is to give a basic introduction to theory and mathematical methods used in medical image analysis, to an extent that will allow medical image processing problems to be handled. In addition the aim is to help the student develop his or her ability in problem solving, both with or without a computer. Furthermore, the aim is to prepare the student for further studies and research in the border between medicin and engineering.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

Competences and skills
For a passing grade the student must





Basic concepts: Image, Volume data, 4D data, pixel, voxel, file-formats, DICOM (Digital Imaging and Communications in Medicine). .

Image acquisition techniequs: Radiography, Röntgen, CT (X-ray computed tomography), MR (Magnetic resonance imaging), ultraljud, PET (Positron emission tomography), Scint (Scintigraphy) and SPECT (Single-photon emission computed tomography)..

Noise and Image enhancement, loss-less compression

Registration: Registration of medical images. Mutual information. Landmark based methods. Deformation models.

Segmentation: active contours in 2D, 3D and 4D, active appearance models. Graph-methods.

Machine Learning: Training, testing, generalization, hypothesis spaces.

Validation: Databases. Ethics.


Examination details

Grading scale: TH
Assessment: Compulsory assignments. Oral exam. Approved results on these are enough to pass the course. To get a higher grade, a written is required.


Required prior knowledge: FMA170 Image Analysis or corresponding knowledge.
The number of participants is limited to: No

Reading list

Contact and other information

Course coordinator: Anders Holst,
Course coordinator: Kalle Åström,
Course homepage: