Abstract
A realistic anthropomorphic numerical model of the beating heart is presented. It includes the main cardiac anatomical structures, vessels junctions and part of the coronary network. Its main feature is that it is based on an imaging study on the same human subject from which both structural and motion information are retrieved. This confers to the model a remarkable consistency. Heart’s deformation is assessed through successive 3D non rigid registrations in cine MR sequences. The resulting model can be used for the evaluation of cardiac image processing algorithms such as myocardium segmentation and cardiac image registration.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Amini, A., Prince, J.L.: Computational Imaging and vision: Measurement of Cardiac Deformations from MRI: Physical and Mathematical Models, vol. 23. Kluwer Academic Publishers, Netherlands (2001)
Arts, T., Hunter, W.C., Douglas, A., Muijtjens, A.M.M., Reneman, R.S.: Description of the deformation of the left ventricle by a kinematic model. Journal of Biomechanics 25(10), 1119–1127 (1992)
Chalana, V., Yongmin, K.: A methodology for evaluation of boundary detection algorithms on medical images. IEEE Transactions on Medical Imaging 16(5), 642–652 (1997)
Frangi, A.F., Niessen, W.J., Viergever, M.A.: Three-dimensional modeling for functional analysis of cardiac images, a review. IEEE Transactions on Medical Imaging 20(1), 2–25 (2001)
Frangi, A.F., Niessen, W.J., Vincken, K.L.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130–137. Springer, Heidelberg (1998)
Grangeat, P., Koenig, A., Rodet, T., Bonnet, S.: Theoretical framework for a dynamic cone-beam reconstruction algorithm based on a dynamic particle model. Physics in Medicine and Biology 47, 2611–2625 (2002)
HernĂ¡ndez-Hoyos, M., Orkisz, M., Puech, P., Mansard, C., Douek, P.C.: Computer-assisted analysis of three-dimensional angiograms. RadioGraphics (22), 421–436 (2002)
Jannin, P., Fitzpatrick, J.M., Hawkes, D.J., Pennec, X., Shahidi, R., Vannier, M.W.: Validation of medical image processing in image-guided therapy. IEEE Transactions on Medical Imaging 21(12), 1445–1449 (2002)
Lorenzo-Valdés, M., Sanchez-Ortiz, G.I., Elkington, A.G., Mohiaddin, R.H., Rueckert, D.: Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm. Medical Image Analysis 8, 255–265 (2004)
Nielsen, P.M.F., LeGrice, I.L., Smaill, B.H., Hunter, P.J.: Mathematical model of geometry and fibrous structure of the heart. American Journal Physiology 260, 1365–1378 (1991)
Orkisz, M., HernĂ¡ndez-Hoyos, M.: From inertia matrix to the analysis of vascular pathologies. In: Int. Conf. Computer Vision and Graphics, Zakopane, Poland, pp. 6–15 (2002)
Pauna, N., Croisille, P., Costes, N., Reilhac, A., Mäkelä, T., Cozar, O., Janier, M., Clarysse, P.: A strategy to quantitatively evaluate MRI/PET cardiac rigid registration methods using a monte carlo simulator. In: Magnin, I.E., Montagnat, J., Clarysse, P., Nenonen, J., Katila, T. (eds.) FIMH 2003. LNCS, vol. 2674, pp. 194–204. Springer, Heidelberg (2003)
Pham, Q.-C., Vincent, F., Clarysse, P., Croisille, P., Magnin, I.E.: A FEM-based deformable model for the 3D segmentation and tracking of the heart in cardiac MRI. In: 2nd International Symposium on Image and Signal Processing and Analysis (ISPA 2001), Pula, Croatia, pp. 250–254 (2001)
Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L.G., Leach, M.O., Hawkes, D.J.: Nonrigid registration using free-form deformations: Application to breast MR images. IEEE Transactions on Medical Imaging 18(8), 712–721 (1999)
Segars, W.-P., Lalush, D.-S., Tsui, B.-M.-W.: A realistic spline-based dynamic heart phantom. In: IEEE Nuclear Science Symposium and Medical Imaging Conference, Seattle, Washington, USA (1999)
Suri, J.S.: Computer vision, pattern recognition and image processing in left ventricle segmentation: the last 50 years. Pattern Analysis and Applications 3, 209–242 (2000)
Waks, E., Prince, J.L., Douglas, A.S.: Cardiac motion simulator for tagged MRI. In: IEEE Workshop Mathematical Methods in Biomedical Image Analysis, San Francisco, CA, USA, pp. 182–191 (1996)
Wierzbicki, M., Drangova, M., Guiraudon, G., Peters, T.: Validation of dynamic heart models obtained using non-linear registration for virtual reality training, planning, and guidance of minimally invasive cardiac surgeries. Medical Image Analysis 8, 387–401 (2004)
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
Haddad, R., Clarysse, P., Orkisz, M., Croisille, P., Revel, D., Magnin, I.E. (2005). A Realistic Anthropomorphic Numerical Model of the Beating Heart. In: Frangi, A.F., Radeva, P.I., Santos, A., Hernandez, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2005. Lecture Notes in Computer Science, vol 3504. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494621_38
Download citation
DOI: https://doi.org/10.1007/11494621_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26161-2
Online ISBN: 978-3-540-32081-4
eBook Packages: Computer ScienceComputer Science (R0)