Abstract
Analysing heart motion provides crucial insights on the condition of the cardiac function. Tagged-MRI and 2D-strain ultrasound enable quantitative assessment of the myocardium strain. But estimating 3D myocardium strain from cine-MRI remains attractive: cine-MRI is widely available and it yields detailed 3D+t anatomical images. This paper presents an image-based method to estimate myocardium strain from clinical short-axis cine-MRI. To recover non-apparent cardiac motions, we improve the diffeomorphic demons, a non-linear registration algorithm, by adding two physical constraints. First, myocardium near-incompressibility is ensured by constraining the deformations to be divergence free. Second, myocardium elasticity is modelled using smooth vector filters. The proposed physically-constrained demons are compared with the diffeomorphic demons and evaluated in a healthy subject against tagged MRI. The method is also tested on a patient with congenital pulmonary valve regurgitations and compared with 2D-strain measurements. In both cases, obtained results correlate well with ground truth. This method may become a useful tool for cardiac function evaluation.
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Keywords
- Image Registration
- Longitudinal Strain
- Circumferential Strain
- Myocardium Strain
- Deformable Image Registration
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
McVeigh, E.: Regional myocardial function. Cardiology Clinics 16(2), 189–206 (1998)
Teske, A., De Boeck, B., Melman, P., Sieswerda, G., Doevendans, P., Cramer, M.: Echocardiographic quantification of myocardial function using tissue deformation imaging, a guide to image acquisition and analysis using tissue doppler and speckle tracking. Cardiovascular Ultrasound 5, 27 (2007)
Papademetris, X., Sinusas, A., Dione, D., Constable, R., Duncan, J.: Estimating 3D strain from 4D cine-MRI and echocardiography: In-vivo validation. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds.) MICCAI 2000. LNCS, vol. 1935, pp. 678–686. Springer, Heidelberg (2000)
Veress, A., Gullberg, G., Weiss, J.: Measurement of Strain in the Left Ventricle during Diastole with cine-MRI and Deformable Image Registration. Journal of Biomechanical Engineering 127, 1195 (2005)
Feng, W., Denney, T., Lloyd, S., Dell’Italia, L., Gupta, H.: Contour regularized left ventricular strain analysis from cine MRI. In: Proc. ISBI 2008, pp. 520–523 (2008)
Bistoquet, A., Oshinski, J., Skrinjar, O.: Myocardial deformation recovery from cine MRI using a nearly incompressible biventricular model. Medical Image Analysis 12(1), 69–85 (2008)
Delhay, B., Clarysse, P., Magnin, I.: Locally Adapted Spatio-temporal Deformation Model for Dense Motion Estimation in Periodic Cardiac Image Sequences. In: Sachse, F.B., Seemann, G. (eds.) FIMH 2007. LNCS, vol. 4466, p. 393. Springer, Heidelberg (2007)
Glass, L., Hunter, P., McCulloch, A.: Theory of Heart: Biomechanics, Biophysics, and Nonlinear Dynamics of Cardiac Function. Springer, Heidelberg (1991)
Vercauteren, T., Pennec, X., Perchant, A., Ayache, N.: Non-parametric diffeomorphic image registration with the demons algorithm. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol. 4792, pp. 319–326. Springer, Heidelberg (2007)
Dupuis, P., Grenander, U., Miller, M.: Variational problems on flows of diffeomorphisms for image matching. Quaterly of Applied Mathematics 56(3), 587–600 (1998)
Ashburner, J.: A fast diffeomorphic image registration algorithm. Neuroimage 38(1), 95–113 (2007)
Rohlfing, T., Maurer Jr., C., Bluemke, D., Jacobs, M.: Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint. IEEE Transactions on Medical Imaging 22(6), 730–741 (2003)
Haber, E., Modersitzki, J.: Numerical methods for volume preserving image registration. Inverse Problems 20(5), 1621–1638 (2004)
Saddi, K.A., Chefd’hotel, C., Cheriet, F.: Large deformation registration of contrast-enhanced images with volume-preserving constraint. In: Proc. SPIE Medical Imaging, vol. 6512. SPIE (2007)
Simard, P.Y., Mailloux, G.E.: A projection operator for the restoration of divergence-free vector fields. IEEE Transactions on Pattern Analysis and Machine Intelligence 10(2), 248–256 (1988)
Modersitzki, J.: Numerical Methods for Image Registration. Oxford University Press, Oxford (2004)
Cachier, P., Ayache, N.: Isotropic energies, filters and splines for vectorial regularization. J. of Math. Imaging and Vision 20(3), 251–265 (2004)
Moore, C., Lugo-Olivieri, C., McVeigh, E., Zerhouni, E.: Three-dimensional systolic strain patterns in the normal human left ventricle: Characterization with tagged MR imaging. Radiology 214(2), 453–466 (2000)
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Mansi, T. et al. (2009). Physically-Constrained Diffeomorphic Demons for the Estimation of 3D Myocardium Strain from Cine-MRI. In: Ayache, N., Delingette, H., Sermesant, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2009. Lecture Notes in Computer Science, vol 5528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01932-6_22
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DOI: https://doi.org/10.1007/978-3-642-01932-6_22
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