Skip to Main content Skip to Navigation
Journal articles

Automated estimation of aortic strain from steady-state free-precession and phase contrast MR images

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.
Document type :
Journal articles
Complete list of metadata

https://hal.sorbonne-universite.fr/hal-02641269
Contributor : Hal Sorbonne Université Gestionnaire <>
Submitted on : Thursday, May 28, 2020 - 4:31:42 PM
Last modification on : Thursday, September 2, 2021 - 9:08:50 AM

Links full text

Identifiers

Citation

Alain Herment, Muriel Lefort, Nadjia Kachenoura, Alain de Cesare, Valentina Taviani, et al.. Automated estimation of aortic strain from steady-state free-precession and phase contrast MR images. Magnetic Resonance in Medicine, Wiley, 2011, 65 (4), pp.986-993. ⟨10.1002/mrm.22678⟩. ⟨hal-02641269⟩

Share

Metrics