Automated identification of minimal myocardial motion for improved image quality on MR angiography at 3 T
Détails
ID Serval
serval:BIB_D3F9EAF39114
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Automated identification of minimal myocardial motion for improved image quality on MR angiography at 3 T
Périodique
AJR : American Journal of Roentgenology
ISSN
1546-3141
Statut éditorial
Publié
Date de publication
2007
Peer-reviewed
Oui
Volume
188
Numéro
3
Pages
W283-W290
Langue
anglais
Notes
Evaluation Studies
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Résumé
OBJECTIVE: Imaging during a period of minimal myocardial motion is of paramount importance for coronary MR angiography (MRA). The objective of our study was to evaluate the utility of FREEZE, a custom-built automated tool for the identification of the period of minimal myocardial motion, in both a moving phantom at 1.5 T and 10 healthy adults (nine men, one woman; mean age, 24.9 years; age range, 21-32 years) at 3 T. CONCLUSION: Quantitative analysis of the moving phantom showed that dimension measurements approached those obtained in the static phantom when using FREEZE. In vitro, vessel sharpness, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were significantly improved when coronary MRA was performed during the software-prescribed period of minimal myocardial motion (p < 0.05). Consistent with these objective findings, image quality assessments by consensus review also improved significantly when using the automated prescription of the period of minimal myocardial motion. The use of FREEZE improves image quality of coronary MRA. Simultaneously, operator dependence can be minimized while the ease of use is improved.
Mots-clé
Adult, Algorithms, Artifacts, *Artificial Intelligence, Coronary Vessels/*anatomy & histology/physiology, Female, Humans, Image Enhancement/*methods, Image Interpretation, Computer-Assisted/*methods, Magnetic Resonance Angiography/instrumentation/*methods, Male, *Movement, Pattern Recognition, Automated/*methods, Phantoms, Imaging, Reproducibility of Results, Sensitivity and Specificity
Pubmed
Web of science
Création de la notice
02/03/2010 16:04
Dernière modification de la notice
20/08/2019 15:53