QUANTITATIVE MRI: SIGNAL, IMAGES AND MODELS
Stampa
Enrollment year
2018/2019
Academic year
2019/2020
Regulations
DM270
Academic discipline
ING-INF/06 (ELECTRONIC AND INFORMATION BIOENGINEERING)
Department
DEPARTMENT OF ELECTRICAL,COMPUTER AND BIOMEDICAL ENGINEERING
Course
BIOENGINEERING
Curriculum
PERCORSO COMUNE
Year of study
Period
1st semester (30/09/2019 - 20/01/2020)
ECTS
6
Lesson hours
45 lesson hours
Language
Italian
Activity type
WRITTEN AND ORAL TEST
Teacher
GANDINI CLAUDIA (titolare) - 5 ECTS
CASTELLAZZI GLORIA - 1 ECTS
Prerequisites
n/a
Learning outcomes
This course aims at forming students by giving thm the knowledge of magnetic resonance signal formation and of how to form an image by coding spatial information.
The course will present quantitative MRI methods through biophysical models that allow explaining the signal behaviour in different circumstances. To do so it will be necessary to deal with the physics principles that make MRI sensitive to microstructural properties as well as functional properties of tissues under investigation, which are affecting macroscopic properties even if the source is at molecular level.
The course will tackle how to set up an MRI protocol depending on the research question exploiting specific sequences (which are the programmes that drive the MRI scanner). Finally the course will describe how from the acquired data one can get to indices that are useful biomarkers for clinical problems, both for prediction of disease evolution and for the understanding of the mechanisms behind a disease.
Course contents
• Nuclear magnetic resonance: basic principles
• Relaxometry: how do protons interact
• Spatial encding: the images
• Standard MRI sequences
• Fast MRI sequences
• Safety and ethical considerations of human MRI
• Magnetization transfer principles: macromolecules
• Chemical shift imaging and metabolites
• Microstructural characterization: the diffusion tensor
• Advanced models of microstructure: beyond the diffusion ensor
• Measuring brain function
• Sensitization of MRI signal to different functional regimes
• Perfusion imaging
• Structural connectomic
• Functional connectomic
• Graph theory
• How to build an acquisition protocol
• How to plan and perform data analysis
• High field MRI
Teaching methods
Face to face lessons
Reccomended or required readings
Slides and handouts
Assessment methods
Written exam (multiple choice) followed by an oral exam.
Further information
n/a
Sustainable development goals - Agenda 2030