Abstract
We present an optical flow-based algorithm to estimate heart wall motion from ultrasound sequences. The method exploits two ultrasound modalities, i.e., B-mode (grayscale data) and tissue Doppler (partial velocity measurements). We use a local affine velocity model to account for typical heart motions such as contraction/expansion and shear. The affine model parameters give also access to so-called strain rate parameters that describe local myocardial deformation such as wall thickening. The estimation of large motions is made possible through the use of a coarse-to-fine multi-scale strategy, which also adds robustness to the method.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Kass, M., Witkin, A., Terzopoulos, D.: Snakes: active contour models. Intl. J. Computer Vision 1, 321–332 (1988)
Chalana, V., Linker, D., Haynor, D., Kim, Y.: A multiple active contour model for cardiac boundary detection on echocardiographic sequences. IEEE Trans. Med. Imag. 15, 290–298 (1996)
Jacob, G., Noble, J., Behrenbruch, C., Kelion, A., Banning, A.: A shape-space-based approach to tracking myocardial borders and quantifying regional left-ventricular function applied in echocardiography. IEEE Trans. Med. Imag. 21, 226–238 (2002)
Yeung, F., Levinson, S., Fu, D., Parker, K.: Feature-adaptive motion tracking of ultrasound image sequences using a deformable mesh. IEEE Trans. Med. Imag. 17, 945–956 (1998)
Ledesma-Carbayo, M., Kybic, J., Desco, M., Santos, A., Unser, M.: Cardiac motion analysis from ultrasound sequences using non-rigid registration. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, pp. 889–896. Springer, Heidelberg (2001)
Horn, B., Schunk, B.: Determining optical flow. Artificial Intelligence 17, 185–203 (1981)
Mailloux, G., Langlois, F., Simard, P., Bertrand, M.: Restoration of the velocity field of the heart from two-dimensional echocardiograms. IEEE Trans. Med. Imag. 8, 143–153 (1989)
Zini, G., Sarti, A., Lamberti, C.: Application of continuum theory and multi-grid methods to motion evaluation from 3D echocardiography. IEEE Trans. Ultrason., Ferroelect., Freq. Contr. 44, 297–308 (1997)
Baraldi, P., Sarti, A., Lamberti, C., Prandini, A., Sgallari, F.: Evaluation of differential optical flow techniques on synthesized echo images. IEEE Trans. Biomed. Eng. 43, 259–272 (1996)
Sühling, M.: Myocardial Motion and Deformation Analysis from Echocardiograms. EPFL thesis no. 3049 (2004), p.181, Swiss Federal Institute of Technology Lausanne (EPFL) (2004)
Chunke, Y., Terada, K., Oe, S.: Motion analysis of echocardiograph using optical flow method. In: IEEE International Conference on Systems, Man and Cybernetics, vol. 1, pp. 672–677. IEEE, Los Alamitos (1996)
Hunziker, P., Picard, M., Jander, N., Scherrer-Crosbie, M., Pfisterer, M., Buser, P.: Regional wall motion assessment in stress echocardiography by tissue Doppler bull’s-eyes. J. Am. Soc. Echocardiography 12, 196–202 (1999)
Unser, M.: Splines: A perfect fit for signal and image processing. IEEE Signal Processing Mag. 16, 22–38 (1999)
Mühlich, M., Mester, R.: The role of total least squares in motion analysis. In: Burkhardt, H., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1407, pp. 305–321. Springer, Heidelberg (1998)
Mota, C., Stuke, I., Aach, T., Barth, E.: Divide-and-conquer strategies for estimating multiple transparent motions. In: Jähne, B., Mester, R., Barth, E., Scharr, H. (eds.) IWCM 2004. LNCS, vol. 3417, pp. 66–77. Springer, Heidelberg (2007)
Schnörr, C.: Variational methods for fluid flow estimation. In: Jähne, B., Mester, R., Barth, E., Scharr, H. (eds.) IWCM 2004. LNCS, vol. 3417, pp. 124–145. Springer, Heidelberg (2007)
Sühling, M., Arigovindan, M., Hunziker, P., Unser, M.: Multiresolution moment filters: Theory and applications. IEEE Trans. Image Processing 13, 484–495 (2004)
Unser, M., Aldroubi, A., Eden, M.: The L2-polynomial spline pyramid. IEEE Trans. Pattern Anal. Machine Intell. 15, 364–379 (1993)
D’hooge, J., Heimdal, A., Jamal, F., Kukulski, T., Bijnens, B., Rademakers, F., Hatle, L., Suetens, P., Sutherland, G.R.: Regional strain and strain rate measurements by cardiac ultrasound: Principles, implementation and limitations. European Journal of Echocardiography 1, 154–170 (2000)
Fleming, A., Xia, X., McDicken, W., Sutherland, G., Fenn, L.: Myocardial velocity gradients detected by doppler imaging system. British J. Radiology 67, 679–688 (1994)
Uematsu, M., Miyatake, K., Tanaka, N., Matsuda, H., Sano, A., Yamazaki, N., Hirama, M., Yamagishi, M.: Myocardial velocity gradient as a new indicator of regional left ventricular contraction: detection by a two-dimensional tissue doppler imaging technique. J. Am. Coll. Cardiology 26, 217–223 (1995)
Feistauer, M.: Mathematical Methods in Fluid Dynamics. Pitman Monographs and Surveys in Pure and Applied Mathematics, vol. 67. Longman Scientific & Technical, Harlow (1993)
Bertrand, M., Meunier, J.: Ultrasonic texture motion analysis: theory and simulation. IEEE Trans. Med. Imag. 14, 293–300 (1995)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Sühling, M., Arigovindan, M., Jansen, C., Hunziker, P., Unser, M. (2007). Myocardial Motion and Strain Rate Analysis from Ultrasound Sequences. In: Jähne, B., Mester, R., Barth, E., Scharr, H. (eds) Complex Motion. IWCM 2004. Lecture Notes in Computer Science, vol 3417. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69866-1_13
Download citation
DOI: https://doi.org/10.1007/978-3-540-69866-1_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69864-7
Online ISBN: 978-3-540-69866-1
eBook Packages: Computer ScienceComputer Science (R0)