An automated approach to fully self-gated free-running cardiac and respiratory motion-resolved 5D whole-heart MRI.

Détails

ID Serval
serval:BIB_13A73006C107
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
An automated approach to fully self-gated free-running cardiac and respiratory motion-resolved 5D whole-heart MRI.
Périodique
Magnetic resonance in medicine
Auteur(s)
Di Sopra L., Piccini D., Coppo S., Stuber M., Yerly J.
ISSN
1522-2594 (Electronic)
ISSN-L
0740-3194
Statut éditorial
In Press
Peer-reviewed
Oui
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: aheadofprint
Résumé
To develop a previously reported, electrocardiogram (ECG)-gated, motion-resolved 5D compressed sensing whole-heart sparse MRI methodology into an automated, optimized, and fully self-gated free-running framework in which external gating or triggering devices are no longer needed.
Cardiac and respiratory self-gating signals were extracted from raw image data acquired in 12 healthy adult volunteers with a non-ECG-triggered 3D radial golden-angle 1.5 T balanced SSFP sequence. To extract cardiac self-gating signals, central k-space coefficient signal analysis (k <sub>0</sub> modulation), as well as independent and principal component analyses were performed on selected k-space profiles. The procedure yielding triggers with the smallest deviation from those of the reference ECG was selected for the automated protocol. Thus, optimized cardiac and respiratory self-gating signals were used for binning in a compressed sensing reconstruction pipeline. Coronary vessel length and sharpness of the resultant 5D images were compared with image reconstructions obtained with ECG-gating.
Principal component analysis-derived cardiac self-gating triggers yielded a smaller deviation ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
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) from the reference ECG counterparts than k <sub>0</sub> modulation ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
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) or independent component analysis ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
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). Cardiac and respiratory motion-resolved 5D images were successfully reconstructed with the automated and fully self-gated approach. No significant difference was found for coronary vessel length and sharpness between images reconstructed with the fully self-gated and the ECG-gated approach (all <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
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).
Motion-resolved 5D compressed sensing whole-heart sparse MRI has successfully been developed into an automated, optimized, and fully self-gated free-running framework in which external gating, triggering devices, or navigators are no longer mandatory. The resultant coronary MRA image quality was equivalent to that obtained with conventional ECG-gating.
Mots-clé
3D radial trajectory, 5D whole-heart MRI, compressed sensing, coronary MRA, free-running, self-gating
Pubmed
Création de la notice
04/08/2019 16:12
Dernière modification de la notice
21/08/2019 6:35
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