Abstract
This paper describes a method for estimating the deformation field of the Left Ventricle (LV) walls from a 4–D Multi Slice Computerized Tomography (MSCT) database. The approach is composed of two stages: in the first, a 2–D non–rigid correspondence algorithm matches a set of contours on the LV at consecutive time instants. In the second, a 3–D curvature–based correspondence algorithm is used to optimize the initial approximate correspondence. The dense displacement field is obtained based on the optimized correspondence. Parameters like LV volume, radial contraction and torsion are estimated. The algorithm is validated on synthetic objects and tested using a 4–D MSCT database. Results are promising as the error of the displacement vectors is 2.69 ± 1.38 mm using synthetic objects and, when tested in real data, local parameters extracted agree with values obtained using tagged magnetic resonance imaging.
Chapter PDF
References
Opie, L.: Mechanics of cardiac contraction and relaxation. In: Braunwald, E., Zipes, D., Libby, P. (eds.) Heart Disease: A Textbook of Cardiovascular Medicine, 6th edn., pp. 443–478. W. B. Saunders, Philadelphia (2001)
Arts, T., Meerbaum, S., Reneman, R.: Torsion of the left ventricle during the ejection phase in the intact dog. Cardiovasc. Res. 18, 183 (1984)
Ingels, N., Daughters, G., Stinson, E., Alderman, E.: Evaluation of methods for quantitating left ventricular segmental wall motion in man using myocardial markers as a standard. Circ. 61(5), 966–972 (1980)
Villarreal, F., Waldman, L., Lew, W.: Technique for measuring regional two-dimensional finite strains in canine left ventricle. Circ. Res. 62(4), 711–721 (1988)
Fenton, T., Cherry, J., Klassen, G.: Transmural myocardial deformation in the canine left ventricle wall. Am. J. Physiol. Heart Circ. Physiol. 235(4), H523–H530 (1978)
Dougherty, L., Asmuth, J.C., Blom, A.S., Axel, L., Kumar, R.: Validation of an optical flow method for tag displacement estimation. IEEE Trans. Med. Imag. 18(4), 359–363 (1999)
Chandrashekara, R., Mohiaddin, R., Rueckert, D.: Analysis of 3–D myocardial motion in tagged MR images using nonrigid image registration. IEEE Trans. Med. Imag. 23(10), 1245–1250 (2004)
Frangi, A.J., Rueckert, D., Duncan, J.S.: Three–dimensional cardiovascular image analysis. IEEE Trans. Med. Imag. 21(9), 1005–1010 (2002)
Simon, A., Garreau, M., Boulmier, D., Coatrieux, J.-L., Le Breton, H.: Cardiac motion extraction using 3D surface matching in multislice computed tomography. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3217, pp. 1057–1059. Springer, Heidelberg (2004)
Allouche, C., Makram, S., Ayache, N., Delingette, H.: A new kinetic modeling scheme for the human left ventricle wall motion with MR–tagging imaging. In: Katila, T., Magnin, I.E., Clarysse, P., Montagnat, J., Nenonen, J. (eds.) FIMH 2001. LNCS, vol. 2230, pp. 61–68. Springer, Heidelberg (2001)
Gérard, O., Billon, A.C., Rouet, J.-M., Jacob, M., Fradkin, M., Allouche, C.: Efficient model–based quantification of left ventricular function in 3–D echocardiography. IEEE Trans. Med. Imag. 21(9), 1059–1068 (2002)
Frangi, A.J., Niessen, W.J., Viergever, M.A.: Three–dimensional modeling for functional analysis of cardiac images: A review. IEEE Trans. Med. Imag. 20(1), 2–25 (2001)
Papademetris, X., Sinusas, A.J., Dione, D.P., Constable, R.T., Duncan, J.S.: Estimation of 3–D left ventricular deformation from medical images using biomechanical models. IEEE Trans. Med. Imag. 21(7), 786–800 (2002)
Simon, A., Garreau, M., Boulmier, D., Coatrieux, J.-L., Le Breton, H.: A surface/volume matching process using a markov random field model for cardiac motion extraction in MSCT imaging. In: Frangi, A.F., Radeva, P.I., Santos, A., Hernandez, M. (eds.) FIMH 2005. LNCS, vol. 3504, pp. 457–466. Springer, Heidelberg (2005)
Lehmann, T., Gönner, C., Spitzer, K.: Survey: Interpolation methods in medical image processing. IEEE Trans. Med. Imag. 18(11), 1049–1073 (1999)
Yuille, A., Poggio, T.: Scaling theorems for zero crossings. IEEE Trans. Pattern Anal. Machine Intell. 8(1), 15–25 (1986)
Hill, A., Taylor, C., Brett, A.: A framework for automatic landmark identification using a new method of nonrigid correspondence. IEEE Trans. Pattern Anal. Machine Intell. 22(3), 241–251 (2000)
Zhu, P., Chirlian, P.: On critical point detection of digital shapes. IEEE Trans. Pattern Anal. Machine Intell. 17(8), 737–748 (1995)
Shi, P.: Image Analysis of 3D Cardiac Motion Using Physical and Geometrical Models. PhD thesis, Yale University (May 1996)
Sander, P., Zucker, S.: Inferring surface trace and differential structure from 3–D images. IEEE Trans. Pattern Anal. Machine Intell. 12(9), 833–854 (1990)
Sederberg, T., Parry, S.: Free–form deformation of solid geometric models. Comput. Graph. 20(4), 537–541 (1986)
Bravo, A., Medina, R., Passariello, G., Garreau, M.: Deformable parametric model for left ventricle wall motion simulation. In: Proceedings of the 14th IASTED International Conference on Applied Simulation and Modelling, ASM 2005, Benalmádena, Spain, pp. 24–29. ACTA Press (June 2005)
Sermesant, M.: Modéle électromécanique du c\(\oe\)ur pour l‘analyse d‘image et la simulation. PhD thesis, Université de Nice Sophia–Antipolis, Institut National de Recherche en Informatique et Automatique (INRIA), France (2003)
Sniderman, A., Marpole, D., Fallen, E.: Regional contraction patterns in the normal and ischemic left ventricle of man. Amer. J. Cardiol. 31(4), 484–489 (1973)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bravo, A., Medina, R., Passariello, G., Garreau, M. (2005). Estimation of the Deformation Field for the Left Ventricle Walls in 4-D Multislice Computerized Tomography. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_37
Download citation
DOI: https://doi.org/10.1007/11578079_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29850-2
Online ISBN: 978-3-540-32242-9
eBook Packages: Computer ScienceComputer Science (R0)