27th ISMRM Annual Meeting • 11-16 May 2019 • Montréal, QC, Canada

Sunrise Session
Quantitative MRI: Relaxometry

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Quantitative MRI: Relaxometry
Sunrise Session

ORGANIZERS: José Marques, Sebastian Kozerke, Ileana Hancu

Monday, 13 May 2019
Room 513D-F  07:00 - 08:00 Moderators:  José Marques, Sebastian Kozerke

Skill Level: Intermediate to Advanced

Session Number: S-M-08

Extend the understanding of the MR signal evolution beyond the simple phenemenological single-pool relaxation models. 

During this educational course, the role of tissue physical properties such as magnetic susceptibility and electric conductivity and how they affect imaging and relaxation processes will be addressed. Furthermore, the role of diffusion, perfusion, flow in the observed signal and how they can be encoded and measured in MRI will be discussed.

Target Audience
Scientists who are interested in developing/improving quantitative MR approaches.

Educational Objectives
As a result of attending this course, participants should be able to:
- Develop MR pulse sequence design to implement practical encoding approaches of the various physical properties of tissues;
- Apply decoding equation/reconstruction to calculate tissue magnetic susceptibility, electrical conductivity, relaxation, diffusion, perfusion, flow; and
- Compare various software solutions for data reconstruction/processing.


Beyond the Phenemenological Single Compartment Model
Sean Deoni
While the majority of routine clinical and diagnostic imaging comprises qualitative T1, T2 and/or proton density (PD)-weighted imaging, additional information related to tissue microstructure can be gleaned through quantitative voxel-wise evaluation of the T1 and T2 relaxation times.  In this educational talk we will examine the various single and multi-component approaches to modelling relaxation data and the biological insight they provide.

  Implementation Considerations in Relaxometry
Martina Callaghan
This presentation will cover some of the key practical considerations that need to be taken into account when quantifying the relaxometry properties of tissue with a view to maximising precision, robustness, sensitivity and reproducibility. Topics such as acquisition strategy, artefact correction and confounds will be discussed.

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