Duration
10h Th, 5h Pr
Number of credits
| Master of Science (MSc) in Biomedical Engineering | 2 crédits | |||
| Master in physics (120 ECTS) | 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 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
Mode of delivery (face-to-face ; distance-learning)
The course is taught ex cathedra at the Cyclotron Research Centre.
Recommended or required readings
You can find most of the material seen at the course on the SPM website.
Assessment methods and criteria
Functional neuroimaging project realised in collaboration with the CRC under supervision of a PI. Or oral presentation and discussion of a recent scientific article related to the content of the cours.
Work placement(s)
Organizational remarks
The course is taught in English.
Contacts
Christophe Phillips, c.phillips@uliege.be
Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session
Teaching methods implemented : distance-learning
Assessment subjects
Assessment methods
Contacts
Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session
Assessment subjects
Assessment methods
Contacts
Items online
Slides, course 2019
Slides from the November-December 2019 course.
You can check some videos covering about the same content from the official SPM course in London:
https://www.fil.ion.ucl.ac.uk/spm/course/video/