Number of hours
- Lectures 24.5
- Projects 0
- Tutorials 8.5
- Internship 0
- Laboratory works 0
- Written tests 0
ECTS
ECTS 1.5
Goal(s)
- This course provides an overview of computational and mathematical methods in medical imaging.
- The course covers the main modalities of medical imaging data (CT, MRI, PET and ultrasound).
- The course covers methods for enhancing and extracting useful information from medical images.
- This course is aimed at students with an interest in medical imaging, health and medicine.
Content(s)
- Image and signal processing
- Implementing spatial image transformations (rigid and non-rigid)
- Sources of medical images
- Discuss the physics of X-ray, CT, PET, MRI and ultrasound.
- Examine the properties of the resulting images,
- Discuss the advantages and disadvantages.
- Image enhancement
- Contrast adjustment, denoising, deblurring, edge detection.
- Registration
- Mono-modal image registration
- Multi-modal image registration
- Segmentation and Classification
- Thresholding, region growing and watershed.
- Reconstruction Methods
- Filtered Back Projection
Prerequisites
- This course requires familiarity with:
- Basic Image Processing
- Basic notions of signal processing
- Linear Algebra and Calculus
- Programming in Python
Test
Semester 8 - The exam is given in english only
50% : Solving BE sessions and realizing a complete report that analyse deeply the results.
50% : Continuous Assessment
Session 1
50% BEs + 50% QCMs
Session 2
50% BEs + 50% QCMs
Additional Information
Semester 8 - This course is given in english only
Course list
Curriculum->BIOMED->Semester 8
Bibliography
Handbook of image and video processing, Al Bovik, 2000, Academic press
Images numériques couleur : de l'acquisition au traitement, A. Tremeau, C. Fernandez-Maloigne, P. Bonton, 2004, Dunod
Introduction au traitement d'images, Gilles Burel, 2001, Hermès
Traitement et analyse des images numériques, S. Bres, J.M. Jolion, F. Lebourgeois, 2003, Hermès