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| STAT0722-1 | Introduction à la statistique médicale
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| Duration : | 10h Th, 5h Pr |
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| Credits/ECTS : |
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| Holder(s) : | Christophe Phillips |
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| Language : | Langue française |
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| Course contents : | Methods to process and analyse medical images, mainly oriented towards statistical analysis in functional neuro-imaging |
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| Course objective : | The aim is to have an overall understanding of the processing steps of medical images, with a view to functional 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. |
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| Prerequisites : | Notions of image and signal processing, and/or experience in medical imaging, and/or statistical analysis |
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| Organization : | Cyclotron Research Centre
www.ulg.ac.be/crc (http://www.ulg.ac.be/crc) |
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| Assessment : | Functional neuroimaging project relaised in collaboration with the CRC
Or discussion of an article related to the content of the course |
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| Contacts : | Christophe Phillips, c.phillips@ulg.ac.be |
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