Automated identification of minimal myocardial motion for improved image quality on MR angiography at 3 T
Details
Serval ID
serval:BIB_D3F9EAF39114
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Automated identification of minimal myocardial motion for improved image quality on MR angiography at 3 T
Journal
AJR : American Journal of Roentgenology
ISSN
1546-3141
Publication state
Published
Issued date
2007
Peer-reviewed
Oui
Volume
188
Number
3
Pages
W283-W290
Language
english
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
Abstract
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.
Keywords
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
Create date
02/03/2010 16:04
Last modification date
20/08/2019 15:53