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Insights into Imaging
Published in: Insights into Imaging 1/2020

01-12-2020 | Magnetic Resonance Imaging | Critical Review

Dynamic MRI for articulating joint evaluation on 1.5 T and 3.0 T scanners: setup, protocols, and real-time sequences

Authors: Marc Garetier, Bhushan Borotikar, Karim Makki, Sylvain Brochard, François Rousseau, Douraïed Ben Salem

Published in: Insights into Imaging | Issue 1/2020

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Abstract

Dynamic magnetic resonance imaging (MRI) is a non-invasive method that can be used to increase the understanding of the pathomechanics of joints. Various types of real-time gradient echo sequences used for dynamic MRI acquisition of joints include balanced steady-state free precession sequence, radiofrequency-spoiled sequence, and ultra-fast gradient echo sequence. Due to their short repetition time and echo time, these sequences provide high temporal resolution, a good signal-to-noise ratio and spatial resolution, and soft tissue contrast. The prerequisites of the evaluation of joints with dynamic MRI include suitable patient installation and optimal positioning of the joint in the coil to allow joint movement, sometimes with dedicated coil support. There are currently few recommendations in the literature regarding appropriate protocol, sequence standardizations, and diagnostic criteria for the use of real-time dynamic MRI to evaluate joints. This article summarizes the technical parameters of these sequences from various manufacturers on 1.5 T and 3.0 T MRI scanners. We have reviewed pertinent details of the patient and coil positioning for dynamic MRI of various joints. The indications and limitations of dynamic MRI of joints are discussed.
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Metadata
Title
Dynamic MRI for articulating joint evaluation on 1.5 T and 3.0 T scanners: setup, protocols, and real-time sequences
Authors
Marc Garetier
Bhushan Borotikar
Karim Makki
Sylvain Brochard
François Rousseau
Douraïed Ben Salem
Publication date
01-12-2020
Publisher
Springer Berlin Heidelberg
Published in
Insights into Imaging / Issue 1/2020
Electronic ISSN: 1869-4101
DOI
https://doi.org/10.1186/s13244-020-00868-5

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