Valid for: 2014/15
Decided by: Education Board B
Date of Decision: 2014-04-08
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.
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.
Image acquisition techniequs: Radiography, CT, MR, ultrasound, PET, Scint and SPECT.
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.
Grading scale: TH
Assessment: Compulsory assignments. Approved results on these are enough to pass the course. To get a higher grade, a written and oral test is required.
Required prior knowledge: FMA170 Image Analysis or corre
The number of participants is limited to: No
Course coordinator: Anders Holst, studierektor@math.lth.se
Course coordinator: Kalle Åström, kalle@maths.lth.se
Course homepage: http://www.maths.lth.se/utbildning/matematiklth/