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Evaluation of thoracic aortic dissection using breath-holding cine MRI.
- Source :
-
Journal of computer assisted tomography [J Comput Assist Tomogr] 1996 Jan-Feb; Vol. 20 (1), pp. 45-50. - Publication Year :
- 1996
-
Abstract
- Objective: Our goal was to determine if breath-hold cine MRI in transaxial planes can be used for the evaluation of thoracic aortic dissection instead of conventional cine MRI since rapid imaging is required in this clinical setting.<br />Materials and Methods: Twelve patients with thoracic aortic dissection were imaged using a 1.5 T imager. Breath-hold images were acquired with fast cine MR sequence (TR/TE = 9/2.8, 20 degrees flip angle) using segmented k-space data acquisition. Conventional non-breath-hold cine MR images (TR/TE = 22/7.5, 35 degrees flip angle, 2 averages) were taken with flow and respiratory compensation.<br />Results: Sharpness of edges of the vessels on fast cine MR images was better than that on conventional cine MR images in 34 (57%) of 60 images. Inhomogeneous blood signal in aortic lumen due to motion artifacts was found in 2 (3%) of fast cine MR images and in 15 (25%) of conventional cine MR images. The contrast-to-noise ratios of fast cine MR images were significantly better than those of conventional cine MR images (26.4 +/- 9.1 vs. 18.5 +/- 10.1; p < 0.05) when the region of interest for noise was placed to include ghosting artifacts.<br />Conclusion: Breath-hold cine MRI is a rapid technique that gives high quality images of thoracic aortic dissection and can provide a diagnosis in < 10 min of imaging time.
- Subjects :
- Aged
Aorta, Thoracic pathology
Aorta, Thoracic physiopathology
Artifacts
Blood
Evaluation Studies as Topic
Female
Heart Rate
Humans
Image Enhancement instrumentation
Image Enhancement methods
Male
Middle Aged
Movement
Regional Blood Flow
Respiration
Signal Processing, Computer-Assisted
Time Factors
Aortic Dissection diagnosis
Aortic Aneurysm, Thoracic diagnosis
Magnetic Resonance Imaging, Cine instrumentation
Magnetic Resonance Imaging, Cine methods
Subjects
Details
- Language :
- English
- ISSN :
- 0363-8715
- Volume :
- 20
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Journal of computer assisted tomography
- Publication Type :
- Academic Journal
- Accession number :
- 8576481
- Full Text :
- https://doi.org/10.1097/00004728-199601000-00010