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, hybrid learning)
If the circumstances allow it, the course is taught ex cathedra at the Cyclotron Research Centre (B30) or, if necessary, in another room nearby (ex. at B5). Check Celcat for the details.
If the course is taught online, we will use the WebEx Meetings system. Connexion link will then be sent by email to all the students.
Organisational adjustments related to the current health context
Recommended or required readings
You can find most of the material seen at the course on the SPM website.
The slides and other notes used during the classes will be made available to the students through the MyULiege page of the course. Further informations will be shared ny email.
Assessment methods and criteria
Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.
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 evaluation (understanding of the techniques used, ability to process data independently and to interpret the results).
For the other students, the exam will consist in presenting and discussing orally in 20-30 minutes a recent scientific article related to the course (neuroimaging, clinical application, method of analysis, etc.). If possible, this presentation will take place in person at the CRC in front of the other students. If the circumstances do not allow it, the presentation will take place online (WebEx Meetings platform) with the other students present virtually.
The date and time of the exam, in January or February, are to be set in agreement with the students.
> Face-to-face written exam (update 10/12/2020)
Work placement(s)
Organizational remarks
The course is taught in English.
Contacts
Christophe Phillips, c.phillips@uliege.be