Duration
10h Th, 5h Pr
Number of credits
| Master of Science (MSc) in Biomedical Engineering | 2 crédits |
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Methods to process and analyse medical images, mainly oriented towards spatial processing and statistical analysis in functional and anatomical neuro-imaging.
Learning outcomes of the learning unit
The aim is to have an overall understanding of the processing steps of medical images, with a view to functional and strucutral neuro-imaging:
- image spatial preprocessing: realignment, normalisation, coregistration, segmentation
- statical modeling with the "General Linear Model" and estimation of its parameters
- statistical inference about these parameters and correction for the multiple comparison problem
- other methods: non-parametric statistic, connectivity, dynamic causal modeling, Bayesian inference, etc.
Prerequisite knowledge and skills
Notions of image and signal processing, and/or experience in medical imaging, and/or statistical analysis.
Planned learning activities and teaching methods
- ex cathedra presentation of the main content
- practical demonstration of the tools on real data
- personnal hands on practice on real data
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Additional information:
Face to face classes.
Video recordings and notes from similar course, taught at ULiège or University College London, are available:
Recommended or required readings
Notes from previous years courses are available on line (2020, 2021 et 2022) as well as the notes from the official SPM courses organised at University College London.
Notes and course informations for this year (2023) will be available on this Indico page.
Exam(s) in session
Any session
- In-person
oral exam
Additional information:
For Master's students in applied sciences, physics or else, the exam will consist in presenting, focusing on the methodological aspects, and discussing orally in 20-30 minutes a recent scientific article (of your choice) related to the course (neuroimaging, clinical application, analysis method, etc.). This presentation will take place in person and in front of the other students.
For students carrying out a project at the CRC (internship or doctoral thesis), the project carried out in neuroimaging under the supervision of a permanent CRC researcher will serve as an assessment: understanding of the techniques used, ability to process data independently, and to interpret the results.
The date and time of the exam, in January or February, will be decided with all the students.
Work placement(s)
Organisational remarks and main changes to the course
The course is taught in English.
This is a reformed version of the course STAT0722-1 "Introduction to medical statistics", organised by the Faculty of Science until the 2022-2023 academic year.
Contacts
Christophe Phillips, c.phillips@uliege.be