2022-2023 / STAT0722-1

Introduction to medical statistics

Duration

10h Th, 5h Pr

Number of credits

 Master of Science (MSc) in Biomedical Engineering2 crédits 
 Master in physics (120 ECTS)2 crédits 

Lecturer

Christophe Phillips

Language(s) of instruction

English language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

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.
This course contributes to the learning outcomes I.2, II.1, II.2, II.3, III.2, IV.1, IV.2, VI.1, VI.2, VI.3, VII.3, VII.4, VII.5 of the MSc in biomedical engineering.

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)

Face-to-face course


Additional information:

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 B4). Check Celcat for the details.

If the course is taught online, we will use the ULiege Teams system. Connexion link will then be sent by email to all the students.

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.

Exam(s) in session

Any session

- In-person

oral exam

Out-of-session test(s)

Other : Scientific article presentation, followed by a few questions


Additional information:

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. 

The date and time of the exam, in January or February, are to be set in agreement with the students.

 

Work placement(s)

Organizational remarks

The course is taught in English.

Contacts

Christophe Phillips, c.phillips@uliege.be

Association of one or more MOOCs