Abstract
The quantitative estimation of regional cardiac deformation from 3D image sequences has important clinical implications for the assessment of myocardial viability. The validation of such image-derived estimates, however, is a non-trivial problem as it is very difficult to obtain ground truth. In this work we present an approach to validating strain estimates derived from 3D cine-Magnetic Resonance (MR) and 3D Echocardiography (3DE) images using our previously-developed shape-based tracking algorithm. The images are segmented interactively and then initial correspondence is established using a shape-tracking approach. A dense motion field is then estimated using a transversely linear elastic model, which accounts for the fiber directions in the left ventricle. The dense motion field is in turn used to calculate the deformation of the heart wall in terms of strains. The strains obtained using our algorithm are compared to strains estimated using implanted markers and sonomicrometers, which are used as the gold standards. These preliminary studies show encouraging results.
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Amini, A.A., Chen, Y., Curwen, R.W., Manu, V., Sun, J.: Coupled B-snake grides and constrained thin-plate splines for analysis of 2D tissue defomations from tagged MRI. IEEE Transactions on Medical Imaging 17(3), 344–356 (1998)
Arts, T., Hunter, W., Douglas, A., Muijtens, A., Reneman, R.: Description of the deformation of the left ventricle by a kinematic model. J. Biomechanics 25(10), 1119–1127 (1992)
Bathe, K.: Finite Element Procedures in Engineering Analysis. Prentice-Hall, New Jersey (1982)
Dione, D.P., Shi, P., Smith, W., De Man, P., Soares, J., Duncan, J.S., Sinusas, A.J.: Three-dimensional regional left ventricular deformation from digital so-nomicrometry. In: 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, pp. 848–851 (March 1997)
Guccione, J.M., McCulloch, A.D.: Finite element modeling of ventricular mechanics. In: Hunter, P.J., McCulloch, A., Nielsen, P. (eds.) Theory of Heart, pp. 122–144. Springer, Berlin (1991)
Haber, E., Metaxas, D.N., Axel, L.: Motion analysis of the right ventricle from MRI images. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 177–188. Springer, Heidelberg (1998)
Kerwin, W.S., Prince, J.L.: Cardiac material markers from tagged MR images. Medical Image Analysis 2(4), 339–353 (1998)
Kraitchman, D.L., Young, A.A., Chang, C., Axel, L.: Semi-automatic tracking of myocardial motion in MR tagged images. IEEE Transactions on Medical Imaging 14(3), 422–433 (1995)
Malvern, L.E.: Introduction to the Mechanics of a Continuous Medium. Prentice-Hall, Englewood Cliffs (1969)
Meoli, D., Mazhari, R., Dione, D.P., Omens, J., McCulloch, A., Sinusas, A.J.: Three dimensional digital sonomicrometry: Comparison with biplane radiography. In: Proceedings of IEEE 24th Annual Northeast Bioengineering Conference, pp. 64–67 (1998)
Papademetris, X., Rambo, J.V., Dione, D.P., Sinusas, A.J., Duncan, J.S.: Visually interactive cine-3D segmentation of cardiac MR images. Suppl. to the J. Am. Coll. of Cardiology 31(2. Suppl. A) (February 1998)
Papademetris, X., Sinusas, A.J., Dione, D.P., Duncan, J.S.: 3D cardiac deformation from ultrasound images. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 420–429. Springer, Heidelberg (1999)
Papademetris, X., Sinusas, A.J., Dione, D.P., Duncan, J.S.: Estimation 3D left ventricular deformation from echocardiography. Medical Image Analysis (in Press)
Prince, J.L., McVeigh, E.R.: Motion estimation from tagged MR image sequences. IEEE Transactions on Medical Imaging 11, 238–249 (1992)
Ratcliffe, M.B., Gupta, K.B., Streicher, J.T., Savage, E.B., Bogen, D.K., Edmunds, L.H.: Use of sonomicrometry and multidimensional scaling to determine the three dimensional coordinates of multiple cardiac locations: feasibility and initial implementation. IEEE Trans. Biomed. Eng. 42, 587–598 (1995)
Shi, P., Sinusas, A.J., Constable, R.T., Duncan, J.S.: Volumetric deformation analysis using mechanics-based data fusion: Applications in cardiac motion recovery. International Journal of Computer Vision 35(1), 65–85 (1999)
Shi, P., Sinusas, A.J., Constable, R.T., Ritman, E., Duncan, J.S.: Point-tracked quantitative analysis of left ventricular motion from 3D image sequences. IEEE Transactions on Medical Imaging 19(1), 36–50 (2000)
Waks, E., Prince, J.L., Douglas, A.: Cardiac motion simulator for tagged MRI. Mathematical Methods in Biomedical Imaging Analysis, 182–191 (1996)
Young, A.A., Axel, L., et al.: Validation of tagging with MR imaging to estimate material deformation. Radiology 188, 101–108 (1993)
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Papademetris, X., Sinusas, A.J., Dione, D.P., Constable, R.T., Duncan, J.S. (2000). Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo Validation. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000. MICCAI 2000. Lecture Notes in Computer Science, vol 1935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-40899-4_70
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DOI: https://doi.org/10.1007/978-3-540-40899-4_70
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