Quantitative MRI

Introduces the principles and applications of quantitative MRI, focusing on the measurement and analysis of MRI data to extract meaningful biological information

Course details
Non-credit course
University
Boğaziçi Üniversitesi
Institution
Teacher
Various Teachers
Category
Clinical Neurotechnology
Dimension
Clinical neurotechnology
Level
Advanced

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 13  expert-led lectures by AUMC, BU, and Fraunhofer MEVIS, participants will gain insight into the fundamentals of quantitative MRI (qMRI) methods, including Diffusion-Weighted MRI, Perfusion MRI, and Functional MRI. The course also covers applications of the qMRI methods for clinical purposes.  By the end of the course, participants will have a foundation of different qMRI methods and their applications. 

This course collection is offered as part of the TACTIX project in collaboration with Boğaziçi University, Amsterdam UMC and Fraunhofer MEVIS.

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

Prerequisites

Basics of MRI are required. MRI image processing knowledge is a plus.

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

Lessons

Number of lessons: 4
  •  
    Diffusion MRI
    Petra Pouwels

    This lecture provides a comprehensive introduction to Diffusion MRI, a quantitative imaging technique that measures the microscopic random motion of water molecules (Brownian motion) within brain tissue. The lecture explains how…

  •  
    Intravoxel Incoherent Motion (IVIM)
    Oliver Gurney-Champion

    This lecture covers Intravoxel Incoherent Motion (IVIM), a quantitative MRI technique that captures both tissue diffusion and microvascular perfusion without the need for external contrast agents. The lecture explains the physical…

  •  
    Applied Topics: The Network Collapse
    Menno Shooneim

    This lecture explores Multiple Sclerosis (MS) through the lens of network science, moving beyond simple lesion counts to explain why some patients experience severe symptoms while others remain relatively stable. The lectures…

  •  
    Applied Topics: Advanced MRI Biomarkers
    Alessandro Cagol

    This lecture discusses the evolution of magnetic resonance imaging (MRI) in the clinical management of Multiple Sclerosis (MS). It is highlighted that the transition is from conventional MRI, used for diagnosis according to the…

Lessons in TrainingSpace

Number of lessons: 1
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