Course unit, curriculum year 2023–2024
BBT.HTI.502
Introduction to Medical Image Processing, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 4 (4.3.2024–31.5.2024)
Course code
BBT.HTI.502Language of instruction
EnglishAcademic years
2021–2022, 2022–2023, 2023–2024Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Olli Yli-HarjaResponsible teacher:
Aliyu Musa until 31.12.2022Responsible teacher:
Fernando Galaz Prieto until 31.1.2024Responsible teacher:
Jerome Chandraseelan starting from 1.2.2024Responsible organisation
Faculty of Medicine and Health Technology 100 %
Coordinating organisation
MET Studies 100 %
Common learning outcomes
International outlook and global responsibility
Core content
- Basic principles of the image reconstruction methods in tomography imaging. This includes Radon tranformation, BP, FBP and MLEM.
- Real world constraints in medical imaging.
- Image quality measures and perfromance measures for PET Scanners. Standards for image formats.
- Image coregistration for medical use, problems and image fusion techniques. Image segmentation.
- Structural imaging versus functional imaging in the view of automatic analysis of the image sets.
Complementary knowledge
- OSEM and noise penalization (one step late and MRP)
Specialist knowledge
- Mathematical proofs of the reconstruction methods.
Learning outcomes
Compulsory prerequisites
Recommended prerequisites
Further information
Learning material
Equivalences
Studies that include this course
Completion option 1
To pass the course the student has to make all the computer exercises, pass the exam and make a small assignment.
Completion of all options is required.
Participation in teaching
06.03.2024 – 30.04.2024
Active in period 4 (4.3.2024–31.5.2024)
Exam
No scheduled teaching