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Automated estimation of aortic strain from steady-state free-precession and phase contrast MR images.
- Source :
-
Magnetic resonance in medicine [Magn Reson Med] 2011 Apr; Vol. 65 (4), pp. 986-93. Date of Electronic Publication: 2010 Nov 03. - Publication Year :
- 2011
-
Abstract
- The strain values extracted from steady-state free-precession (SSFP) and phase contrast (PC) images acquired with a 1.5T scanner on a compliant flow phantom and within the thoracic aorta of 52 healthy subjects were compared. Aortic data were acquired perpendicular to the aorta at the level of the pulmonary artery bifurcation. Cross sectional areas were obtained by using an automatic and robust segmentation method. While a good correlation (r = 0.99) was found between the aortic areas extracted from SSFP and PC sequences, a lower correlation (r = 0.71) was found between the corresponding aortic strain values. Strain values estimated using SSFP and PC sequences were equally correlated with age. Interobserver reproducibility was better for SSFP than for PC. Strain values in the ascending and descending aorta were better correlated for SSFP (r = 0.8) than for PC (r = 0.65) and fitted with the expectation of a larger strain in the ascending aorta when using SSFP. The spatial and temporal resolutions of the acquisitions had a minor influence upon the estimated strain values. Thus, if PC acquisitions can be used to estimate both pulse wave velocity and aortic strain, an additional SSFP sequence may be useful to improve the accuracy in estimating the aortic strain.<br /> (Copyright © 2010 Wiley-Liss, Inc.)
- Subjects :
- Adolescent
Adult
Aged
Elastic Modulus physiology
Female
Humans
Image Enhancement methods
Magnetic Resonance Angiography instrumentation
Male
Microscopy, Phase-Contrast instrumentation
Microscopy, Phase-Contrast methods
Middle Aged
Phantoms, Imaging
Reproducibility of Results
Sensitivity and Specificity
Young Adult
Aorta, Thoracic anatomy & histology
Aorta, Thoracic physiology
Elasticity Imaging Techniques methods
Image Interpretation, Computer-Assisted methods
Magnetic Resonance Angiography methods
Subjects
Details
- Language :
- English
- ISSN :
- 1522-2594
- Volume :
- 65
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Magnetic resonance in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 21413062
- Full Text :
- https://doi.org/10.1002/mrm.22678