Medical Imaging
[GBIO2050]
[30h + 30h] 5 credits
This course is taught in the 1st semester.
Teacher(s): Benoît Macq
Language: English
Level: Second
Aims
- understanding of the different acquisition techniques of medical images
- ability to perform medical image processing and analysis
- ability to efficiently choose between different acquisition techniques and different processing methods for medical images
- ability to use computing tools required for medical image processing
Main themes
The first part of the course will introduce the different imaging modalities (X-ray, CT, MRI, US, nuclear medicine), cover ing the general physical principles, the main parameters which characterize image quality (e.g. SNR, spatial resolution, sensitivity) and artefact management. Clinical applications of these imaging systems will illustrate their use in medical diagnosis.
The second part of the course will review algorithmic tools available for image processing, particularly image segmentation, coregistration of images acquired with different modalities and statistical atlas construction. Storage and image transmission systems (PACS) will be discussed together with image format (DICOM), image compression (JPEG2000) and annotation methods. Finally, advanced imaging techniques (functional MRI, perfusion and diffusion MRI measurements) and image guided treatement and surgery will be reviewed.
Content and teaching methods
- parameters which characterize an image
- study of clinical cases
- medical image processing and analysis
- medical image storage and transmission
- advanced imaging techniques
Method : application of analysis methods on clinical cases will be performed in Matlab
Other information (prerequisite, evaluation (assessment methods), course materials recommended readings, ...)