Literature DB >> 21413062

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

Alain Herment1, Muriel Lefort, Nadjia Kachenoura, Alain De Cesare, Valentina Taviani, Martin J Graves, Claire Pellot-Barakat, Frédérique Frouin, Elie Mousseaux.   

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.
Copyright © 2010 Wiley-Liss, Inc.

Mesh:

Year:  2010        PMID: 21413062     DOI: 10.1002/mrm.22678

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  13 in total

1.  Reproducibility of functional aortic analysis using magnetic resonance imaging: the MESA.

Authors:  Chikara Noda; Bharath Ambale Venkatesh; Yoshiaki Ohyama; Chia-Ying Liu; Elzbieta Chamera; Alban Redheuil; Gisela Teixido-Tura; Atul R Chugh; Colin O Wu; Gregory W Hundley; David A Bluemke; Joao A C Lima
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2015-09-10       Impact factor: 6.875

Review 2.  Imaging Insights on the Aorta in Aging.

Authors:  Yoshiaki Ohyama; Alban Redheuil; Nadjia Kachenoura; Bharath Ambale Venkatesh; Joao A C Lima
Journal:  Circ Cardiovasc Imaging       Date:  2018-04       Impact factor: 7.792

3.  Quantitative assessment of the flow distribution in the branches of the external carotid by non-injected flow MRI.

Authors:  Jérémie Bettoni; Gwénaël Pagé; Anne-Virginie Salsac; Jean-Marc Constans; Sylvie Testelin; Bernard Devauchelle; Olivier Balédent; Stéphanie Dakpé
Journal:  Dentomaxillofac Radiol       Date:  2018-07-13       Impact factor: 2.419

4.  Fully automated tool to identify the aorta and compute flow using phase-contrast MRI: validation and application in a large population based study.

Authors:  Akshay Goel; Roderick McColl; Kevin S King; Anthony Whittemore; Ronald M Peshock
Journal:  J Magn Reson Imaging       Date:  2013-09-30       Impact factor: 4.813

5.  Age-related changes in aortic arch geometry: relationship with proximal aortic function and left ventricular mass and remodeling.

Authors:  Alban Redheuil; Wen-Chung Yu; Elie Mousseaux; Ahmed A Harouni; Nadjia Kachenoura; Colin O Wu; David Bluemke; Joao A C Lima
Journal:  J Am Coll Cardiol       Date:  2011-09-13       Impact factor: 24.094

Review 6.  Noninvasive Imaging of Flow and Vascular Function in Disease of the Aorta.

Authors:  Matthew C Whitlock; W Gregory Hundley
Journal:  JACC Cardiovasc Imaging       Date:  2015-09

7.  The role of aortic compliance in determination of coarctation severity: Lumped parameter modeling, in vitro study and clinical evaluation.

Authors:  Zahra Keshavarz-Motamed; Elazer R Edelman; Payam K Motamed; Julio Garcia; Nagib Dahdah; Lyes Kadem
Journal:  J Biomech       Date:  2015-10-26       Impact factor: 2.712

8.  Bramwell-Hill modeling for local aortic pulse wave velocity estimation: a validation study with velocity-encoded cardiovascular magnetic resonance and invasive pressure assessment.

Authors:  Jos J M Westenberg; Eveline P van Poelgeest; Paul Steendijk; Heynric B Grotenhuis; J W Jukema; Albert de Roos
Journal:  J Cardiovasc Magn Reson       Date:  2012-01-09       Impact factor: 5.364

9.  Estimation of aortic pulse wave transit time in cardiovascular magnetic resonance using complex wavelet cross-spectrum analysis.

Authors:  Ioannis Bargiotas; Elie Mousseaux; Wen-Chung Yu; Bharath Ambale Venkatesh; Emilie Bollache; Alain de Cesare; Joao A C Lima; Alban Redheuil; Nadjia Kachenoura
Journal:  J Cardiovasc Magn Reson       Date:  2015-07-30       Impact factor: 5.364

10.  Aortic Function's Adaptation in Response to Exercise-Induced Stress Assessing by 1.5T MRI: A Pilot Study in Healthy Volunteers.

Authors:  Laurence Bal-Theoleyre; Alain Lalande; Frank Kober; Roch Giorgi; Frederic Collart; Philippe Piquet; Gilbert Habib; Jean-François Avierinos; Monique Bernard; Maxime Guye; Alexis Jacquier
Journal:  PLoS One       Date:  2016-06-16       Impact factor: 3.240

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