Phelma Formation 2022

Image processing and medical applications - 4PMBIPM9

  • 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.
Contact Dawood AL CHANTI

Content(s)

  • Image and signal processing
    1. Implementing spatial image transformations (rigid and non-rigid)
  • Sources of medical images
    1. Discuss the physics of X-ray, CT, PET, MRI and ultrasound.
    2. Examine the properties of the resulting images,
    3. Discuss the advantages and disadvantages.
  • Image enhancement
    1. Contrast adjustment, denoising, deblurring, edge detection.
  • Registration
    1. Mono-modal image registration
    2. Multi-modal image registration
  • Segmentation and Classification
    1. Thresholding, region growing and watershed.
  • Reconstruction Methods
    1. 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 EN

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