Synopsis
The purpose of this presentation is to provide an overview
of the basics of quantitative magnetization transfer (qMT) MRI acquisition,
analysis, and implementation. We will
additionally provide an overview of the application of qMT in health and
disease and examine the opportunities for qMT in characterizing pathology.
Target Audience
The target audience for this presentation is
researchers interested in Magnetization Transfer (MT), quantitative MT (qMT),
and clinicians interested in understanding the benefit of alternative contrasts
for assessing pathology.Objectives
The objectives of this presentation are to provide a guide
for understanding the differences between conventional MT and quantitative MT, and
understanding the details of qMT data acquisition, modeling and analysis. We will discuss the assumptions within qMT
models and the impact it has on analysis/quantification. We will close by discussing qMT applications
and utilization across multiple pathologies. Overview of Presentation
Magnetization Transfer is the transfer of spin information
between semi-solid protons typically associated with macromolecules and
surrounding water. An MT experiment is designed
to exploit this exchange phenomenon through a variety of MRI pulse sequences,
such as multiple off-resonance saturation pulses, or multiple inversion
times. Often, the MT effect is modeled
by a 2-pool (or more) model which is then applied to multi-dynamic MRI data to estimate
indices such as the pool-size ratio, the rate of MT exchange, relaxation rates
for each of the pools, etc. We will
examine a few of the MRI pulse sequences and how data is generated and then
analyzed. The MT parameters that have
been extracted have been related to myelin concentration, inflammation with a
purported greater sensitivity than relaxation-based MRI techniques alone. We will further examine this sensitivity and
specificity compared to existing methods, and alternative myelin-sensitive
methods.Acknowledgements
No acknowledgement found.References
No reference found.