2018
DOI: 10.1002/jmri.26559
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Prospective respiratory triggering improves high‐resolution brachial plexus MRI quality

Abstract: Background Oblique sagittal MRI sequences, orthogonal to the longitudinal axis of the brachial plexus, can reliably depict morphologic and signal abnormalities. However, nerve visualization may be obscured by ghosting artifact from periodic respiratory motion. Respiratory triggering (RT) with a thoracoabdominal bellows can reduce ghosting artifact, but it is not routinely used for brachial plexus MRI. Furthermore, the efficacy of prospective RT for brachial plexus imaging has not yet been reported. Purpose To … Show more

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Cited by 15 publications
(14 citation statements)
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“…It can enable uncertainty margins to be reduced, thus better sparing OARs [ 43 ]. However, respiratory motion can cause ghosting artefacts and compromise resolution [ 44 ]. Furthermore, although advanced MRI-to-four-dimensional computed tomography registration algorithms exist, they are not yet used in clinical practice [ 45 ] and assessment on an individual basis, in order to minimise error propagation, is recommended [ 46 ].…”
Section: Discussionmentioning
confidence: 99%
“…It can enable uncertainty margins to be reduced, thus better sparing OARs [ 43 ]. However, respiratory motion can cause ghosting artefacts and compromise resolution [ 44 ]. Furthermore, although advanced MRI-to-four-dimensional computed tomography registration algorithms exist, they are not yet used in clinical practice [ 45 ] and assessment on an individual basis, in order to minimise error propagation, is recommended [ 46 ].…”
Section: Discussionmentioning
confidence: 99%
“…Newer techniques such as retrospective motion compensation with soft gating may also be appropriate for reducing respiratory motion artifacts without additional scan time 26 . Deep learning algorithms for MRN have been previously explored and may also play a role in reducing scan time and motion artifact in the future 11,27,28 …”
Section: Technical Considerationsmentioning
confidence: 99%
“…26 Deep learning algorithms for MRN have been previously explored and may also play a role in reducing scan time and motion artifact in the future. 11,27,28…”
Section: Respiratory Motionmentioning
confidence: 99%
“…1). Prospective respiratory triggering to reduce respiratory motion artifact has been shown to improve image quality on MRI 21 . Nerves are evaluated for signal hyperintensity, enlargement, and loss of fascicular architecture, the latter suggesting high-grade axonotmetic or neurotmetic injury.…”
Section: Imagingmentioning
confidence: 99%