Short Description: This course introduces the principles and applications of quantitative MRI, focusing on the measurement and analysis of MRI data to extract meaningful biological information. Through lectures and tutorials, students will explore quantitative techniques and advanced data processing methods.

Target Audience: MSc and PhD students interested in advanced MRI methods and their quantitative data analysis

Prerequisites: Basic MRI knowledge is required. MRI image processing knowledge is a plus

Course Objectives:

1. Understand the principles of relaxometry (T1, T2, T2*) and how tissue properties influence MRI contrast.
2. Learn diffusion MRI methods to study microstructural properties of tissue.
3. Apply DTI tractography to map white matter pathways.
4. Explore perfusion MRI using DSC and DCE to assess cerebral blood flow and vascular properties.
5. Use ASL perfusion MRI for non-invasive blood flow measurements.
6. Understand the fundamentals of fMRI and apply statistical methods for data analysis.
7. Use MR spectroscopy (MRS) to assess brain metabolism.
8. Apply SWI and QSM for imaging iron deposition and tissue susceptibility.
9. Explore MT and CEST techniques for molecular and biochemical imaging.
10. Analyze functional network disruptions in multiple sclerosis using MRI.
11. Identify advanced MRI biomarkers for MS diagnosis and disease monitoring.

Course Materials:

Textbook: None

Software: None