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Image analysis in time-resolved large field of view 3D MR-angiography at 3T.
Image analysis in time-resolved large field of view 3D MR-angiography at 3T.
- Source :
- Journal of Magnetic Resonance Imaging; Nov2008, Vol. 28 Issue 5, p1116-1124, 9p
- Publication Year :
- 2008
-
Abstract
- Purpose To qualitatively and quantitatively evaluate the image quality in accelerated time-resolved 3D contrast-enhanced MR angiography (tr-CE-MRA) at 3T. Materials and Methods In all, 113 MRA were performed in 107 patients on a 3T MR system after written informed consent and approval by the ethics committee. Twenty consecutive thoracic ( n = 87) or craniocervical ( n = 26) 3D data volumes were acquired. The timeframes with maximum arterial and venous contrast were determined and a total of 663 arterial and venous segments were analyzed by two blinded observers. Diagnostic image quality was graded by applying a 0 (low) to 3 (excellent) scale. Additionally, local signal-to-noise (SNR) and contrast-to-noise ratios (relative CNR) were evaluated. Results Tr-CE-MRA was successfully performed in all patients. Good to excellent image quality (2.42 ± 0.31) was observed in all individuals with preserved discrimination of arteries (2.43 ± 0.48) and veins (2.20 ± 0.56). Minor image degradation due to artifacts (2.62 ± 0.25) and constantly high vascular signal and contrast were detected. There was a significant superiority of coronal orientation during thoracic MRA ( P < 0.05). In 18 cases tr-CE-MRA provided additional information on vascular pathologies. Conclusion Large field of view tr-CE-MRA enables constantly high-quality thoracic and craniocervical angiographies. In addition, the dynamics of tr-CE-MRA can offer additional information on vascular pathologies. J. Magn. Reson. Imaging 2008;28:1116-1124. © 2008 Wiley-Liss, Inc. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10531807
- Volume :
- 28
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Journal of Magnetic Resonance Imaging
- Publication Type :
- Academic Journal
- Accession number :
- 64916516
- Full Text :
- https://doi.org/10.1002/jmri.21554