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Published in: The International Journal of Cardiovascular Imaging 12/2017

Open Access 01-12-2017 | Original Paper

Clinical feasibility and validation of 3D principal strain analysis from cine MRI: comparison to 2D strain by MRI and 3D speckle tracking echocardiography

Authors: Alessandro Satriano, Bobak Heydari, Mariam Narous, Derek V. Exner, Yoko Mikami, Monica M. Attwood, John V. Tyberg, Carmen P. Lydell, Andrew G. Howarth, Nowell M. Fine, James A. White

Published in: The International Journal of Cardiovascular Imaging | Issue 12/2017

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Abstract

Two-dimensional (2D) strain analysis is constrained by geometry-dependent reference directions of deformation (i.e. radial, circumferential, and longitudinal) following the assumption of cylindrical chamber architecture. Three-dimensional (3D) principal strain analysis may overcome such limitations by referencing intrinsic (i.e. principal) directions of deformation. This study aimed to demonstrate clinical feasibility of 3D principal strain analysis from routine 2D cine MRI with validation to strain from 2D tagged cine analysis and 3D speckle tracking echocardiography. Thirty-one patients undergoing cardiac MRI were studied. 3D strain was measured from routine, multi-planar 2D cine SSFP images using custom software designed to apply 4D deformation fields to 3D cardiac models to derive principal strain. Comparisons of strain estimates versus those by 2D tagged cine, 2D non-tagged cine (feature tracking), and 3D speckle tracking echocardiography (STE) were performed. Mean age was 51 ± 14 (36% female). Mean LV ejection fraction was 66 ± 10% (range 37–80%). 3D principal strain analysis was feasible in all subjects and showed high inter- and intra-observer reproducibility (ICC range 0.83–0.97 and 0.83–0.98, respectively—p < 0.001 for all directions). Strong correlations of minimum and maximum principal strain were respectively observed versus the following: 3D STE estimates of longitudinal (r = 0.81 and r = −0.64), circumferential (r = 0.76 and r = −0.58) and radial (r = −0.80 and r = 0.63) strain (p < 0.001 for all); 2D tagged cine estimates of longitudinal (r = 0.81 and r = −0.81), circumferential (r = 0.87 and r = −0.85), and radial (r = −0.76 and r = 0.81) strain (p < 0.0001 for all); and 2D cine (feature tracking) estimates of longitudinal (r = 0.85 and −0.83), circumferential (r = 0.88 and r = −0.87), and radial strain (r = −0.79 and r = 0.84, p < 0.0001 for all). 3D principal strain analysis is feasible using routine, multi-planar 2D cine MRI and shows high reproducibility with strong correlations to 2D conventional strain analysis and 3D STE-based analysis. Given its independence from geometry-related directions of deformation this technique may offer unique benefit for the detection and prognostication of myocardial disease, and warrants expanded investigation.
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Literature
1.
go back to reference Kramer CM, Magovern JA, Rogers WJ et al (2002) Reverse remodeling and improved regional function after repair of left ventricular aneurysm. J Thorac Cardiovasc Surg 123:700–706CrossRefPubMed Kramer CM, Magovern JA, Rogers WJ et al (2002) Reverse remodeling and improved regional function after repair of left ventricular aneurysm. J Thorac Cardiovasc Surg 123:700–706CrossRefPubMed
2.
go back to reference Curry CW, Nelson GS, Wyman BT et al (2000) Mechanical dyssynchrony in dilated cardiomyopathy with intraventricular conduction delay as depicted by 3D tagged magnetic resonance imaging. Circulation 101:E2CrossRefPubMed Curry CW, Nelson GS, Wyman BT et al (2000) Mechanical dyssynchrony in dilated cardiomyopathy with intraventricular conduction delay as depicted by 3D tagged magnetic resonance imaging. Circulation 101:E2CrossRefPubMed
5.
go back to reference Baum J, Beeres F, Van Hall S et al (2014) Three-dimensional speckle tracking echocardiography for the evaluation of segmental myocardial deformation. J Biomed Graph Comput 4:23–32. doi:10.5430/jbgc.v4n2p23 Baum J, Beeres F, Van Hall S et al (2014) Three-dimensional speckle tracking echocardiography for the evaluation of segmental myocardial deformation. J Biomed Graph Comput 4:23–32. doi:10.​5430/​jbgc.​v4n2p23
11.
go back to reference De Boor C (1978) A practical guide to splines. Math. Comput De Boor C (1978) A practical guide to splines. Math. Comput
12.
go back to reference Desbrun M, Meyer M, Schröder P, Barr AH (1999) Implicit fairing of irregular meshes using diffusion and curvature flow. In: Proc. 26th Annu. Conf. Comput. Graph. Interact. Tech. pp 317–324 Desbrun M, Meyer M, Schröder P, Barr AH (1999) Implicit fairing of irregular meshes using diffusion and curvature flow. In: Proc. 26th Annu. Conf. Comput. Graph. Interact. Tech. pp 317–324
13.
go back to reference Hallquist JO, others (2006) LS-DYNA theory manual. Livermore Softw. Technol. Corp. 3:25–31 Hallquist JO, others (2006) LS-DYNA theory manual. Livermore Softw. Technol. Corp. 3:25–31
14.
go back to reference Bonet J, Wood RD (1997) Nonlinear continuum mechanics for finite element analysis. Cambridge university press, Cambridge Bonet J, Wood RD (1997) Nonlinear continuum mechanics for finite element analysis. Cambridge university press, Cambridge
15.
go back to reference Horn BKP, Schunck BG (1981) Determining Optical Flow. Artif. Intell 17:185–293CrossRef Horn BKP, Schunck BG (1981) Determining Optical Flow. Artif. Intell 17:185–293CrossRef
16.
go back to reference O’Donovan P (2005) Optical flow: Techniques and applications. Univ. Saskatchewan, Saskatoon O’Donovan P (2005) Optical flow: Techniques and applications. Univ. Saskatchewan, Saskatoon
17.
go back to reference Fleet D, Weiss Y (2006) Optical flow estimation. In: Handb. Math. Model. Comput. Vis. Springer, pp 237–257 Fleet D, Weiss Y (2006) Optical flow estimation. In: Handb. Math. Model. Comput. Vis. Springer, pp 237–257
18.
go back to reference Satriano A, Vigmond EJ, Martino ES Di (2013) A feature-based morphing methodology for computationally modeled biological structures applied to left atrial fiber directions. J Biomech Eng 135:1–7. doi:10.1115/1.4023369 CrossRef Satriano A, Vigmond EJ, Martino ES Di (2013) A feature-based morphing methodology for computationally modeled biological structures applied to left atrial fiber directions. J Biomech Eng 135:1–7. doi:10.​1115/​1.​4023369 CrossRef
19.
go back to reference Horn B, Schunck B (1981) Determining optical flow. Artif Intell 17:185–203CrossRef Horn B, Schunck B (1981) Determining optical flow. Artif Intell 17:185–203CrossRef
20.
go back to reference Lang RM, Badano LP, Mor-Avi V et al (2015) Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American society of echocardiography and the European association of cardiovascular imaging. Eur Heart J Cardiovasc Imaging 16:233–271. doi:10.1093/ehjci/jev014 CrossRefPubMed Lang RM, Badano LP, Mor-Avi V et al (2015) Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American society of echocardiography and the European association of cardiovascular imaging. Eur Heart J Cardiovasc Imaging 16:233–271. doi:10.​1093/​ehjci/​jev014 CrossRefPubMed
23.
go back to reference Shimizu Y, Amano A, Matsuda T (2010) Oblique 3D MRI tags for the estimation of true 3D cardiac motion parameters. Int J Cardiovasc Imaging 26:905–921CrossRefPubMed Shimizu Y, Amano A, Matsuda T (2010) Oblique 3D MRI tags for the estimation of true 3D cardiac motion parameters. Int J Cardiovasc Imaging 26:905–921CrossRefPubMed
24.
25.
go back to reference Auger DA, Zhong X, Epstein FH, Spottiswoode BS (2012) Mapping right ventricular myocardial mechanics using 3D cine DENSE cardiovascular magnetic resonance. J Cardiovasc Magn Reson 14 Auger DA, Zhong X, Epstein FH, Spottiswoode BS (2012) Mapping right ventricular myocardial mechanics using 3D cine DENSE cardiovascular magnetic resonance. J Cardiovasc Magn Reson 14
28.
go back to reference Sinusas AJ, Papademetris X, Constable RT et al (2001) Quantification of 3-D regional myocardial deformation: shape-based analysis of magnetic resonance images. Am J Physiol Circ Physiol 281:H698–H714 Sinusas AJ, Papademetris X, Constable RT et al (2001) Quantification of 3-D regional myocardial deformation: shape-based analysis of magnetic resonance images. Am J Physiol Circ Physiol 281:H698–H714
29.
go back to reference Papademetris X, Sinusas AJ, Dione DP, et al (2002) Estimation of 3-D left ventricular deformation from medical images using biomechanical models. Med Imaging, IEEE Trans 21:786–800.CrossRef Papademetris X, Sinusas AJ, Dione DP, et al (2002) Estimation of 3-D left ventricular deformation from medical images using biomechanical models. Med Imaging, IEEE Trans 21:786–800.CrossRef
30.
go back to reference Ahmed MI, Desai R V, Gaddam KK, et al (2012) Relation of torsion and myocardial strains to LV ejection fraction in hypertension. JACC Cardiovasc Imaging 5:273–281CrossRefPubMedPubMedCentral Ahmed MI, Desai R V, Gaddam KK, et al (2012) Relation of torsion and myocardial strains to LV ejection fraction in hypertension. JACC Cardiovasc Imaging 5:273–281CrossRefPubMedPubMedCentral
31.
go back to reference Fonseca CG, Oxenham HC, Cowan BR et al (2003) Aging alters patterns of regional nonuniformity in LV strain relaxation: a 3-D MR tissue tagging study. Am J Physiol Circ Physiol 285:H621–H630CrossRef Fonseca CG, Oxenham HC, Cowan BR et al (2003) Aging alters patterns of regional nonuniformity in LV strain relaxation: a 3-D MR tissue tagging study. Am J Physiol Circ Physiol 285:H621–H630CrossRef
32.
go back to reference Pedrizzetti G, Kraigher-Krainer E, De Luca A et al (2012) Functional strain-line pattern in the human left ventricle. Phys Rev Lett 109:48103CrossRef Pedrizzetti G, Kraigher-Krainer E, De Luca A et al (2012) Functional strain-line pattern in the human left ventricle. Phys Rev Lett 109:48103CrossRef
35.
go back to reference Zamorano JL, Lancellotti P, Rodriguez Muñoz D et al (2016) 2016 ESC position paper on cancer treatments and cardiovascular toxicity developed under the auspices of the ESC Committee for Practice Guidelines. Eur Heart J 37:2768–2801. doi:10.1093/eurheartj/ehw211 CrossRefPubMed Zamorano JL, Lancellotti P, Rodriguez Muñoz D et al (2016) 2016 ESC position paper on cancer treatments and cardiovascular toxicity developed under the auspices of the ESC Committee for Practice Guidelines. Eur Heart J 37:2768–2801. doi:10.​1093/​eurheartj/​ehw211 CrossRefPubMed
Metadata
Title
Clinical feasibility and validation of 3D principal strain analysis from cine MRI: comparison to 2D strain by MRI and 3D speckle tracking echocardiography
Authors
Alessandro Satriano
Bobak Heydari
Mariam Narous
Derek V. Exner
Yoko Mikami
Monica M. Attwood
John V. Tyberg
Carmen P. Lydell
Andrew G. Howarth
Nowell M. Fine
James A. White
Publication date
01-12-2017
Publisher
Springer Netherlands
Published in
The International Journal of Cardiovascular Imaging / Issue 12/2017
Print ISSN: 1569-5794
Electronic ISSN: 1875-8312
DOI
https://doi.org/10.1007/s10554-017-1199-7

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