Abstract
We present the fully automated pipeline we have developed to obtain electrophysiological simulations of the heart on a large atlasbased virtual population. This virtual population was generated from a statistical model of left ventricular geometry, represented by a surface model. Correspondence between tetrahedralized volumetric meshes was obtained using Thin Plate Spline warps. Simulations are based on the fast solving of Eikonal equations, and stimulation sites correspond to physiological activation. We report variations of total activation time introduced by geometry, as well as variations in the location of last activation. The obtained results suggest that the total activation time has a strong dependence on LV geometrical variation such as dilation-tohypertrophy.
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References
Abraham, W.T., Fisher, W.G., Smith, A.L., DeLurgio, D.B., Leon, A.R., Loh, E., Kocovic, D.Z., Packer, M., Clavell, A.L., Hayes, D.L., Ellestad, M., Messenger, J.: Cardiac resynchronization in chronic heart failure. N. Engl. J. Med. 346, 1845–1853 (2002)
Chung, E.S., Leon, A.R., Tavazzi, L., Sun, J.P., Nihoyannopoulos, P., Merlino, J., Abraham, W.T., Ghio, S., Leclercq, C., Bax, J.J., Yu, C.M., Gorcsan III, J., St. John Sutton, M., De Sutter, J., Murillo, J.: Results of the predictors of response to CRT (PROSPECT) trial. Circulation 117, 2608–2616 (2008)
Cootes, T.F., Cooper, D.H., Taylor, C.J., Graham, J.: Trainable method of parametric shape description. Image Vis. Comput. 10, 289–294 (1992)
Goodall, C.: Procrustes methods in shape analysis. J. R. Stat. Soc. Ser. B-Stat. Meth. 53, 285–339 (1991)
Pearson, K.: On lines and planes of closest fit to systems of points in space. Philos. Mag. S6(2), 559–572 (1901)
Hotelling, H.: Analysis of a complex of statistical variables into principal components. J. Educ. Psychol. 24, 417–441, 498–520 (1933)
Heimann, T., Meinzer, H.P.: Statistical shape models for 3D medical image segmentation: A review. Med. Image Anal. 13, 543–563 (2009)
Bookstein, F.L.: Principal warps: Thin-plate splines and the decomposition of deformations. IEEE Trans. Pattern Anal. Mach. Intell. 11, 567–585 (1989)
Jouk, P.S., Mourad, A., Milisic, V., Michalowicz, G., Raoult, A., Caillerie, D., Usson, Y.: Analysis of the fiber architecture of the heart by quantitative polarized light microscopy.: Accuracy, limitations and contribution to the study of the fiber architecture of the ventricles during fetal and neonatal life. Eur. J. Cardio-Thorac. Surg. 31, 915–921 (2007)
Streeter Jr., D.D.: Gross morphology and fiber geometry of the heart. In: Berne, R.M., Sperelakis, N., Geigert, S.R. (eds.) Handbook of Physiology: The Cardiovasular System. The Heart, vol. I, pp. 61–112. American Physiology Society, Hyattsville (1979)
Caldwell, B.J., Trew, M.L., Sands, G.B., Hooks, D.A., LeGrice, I.J., Smaill, B.H.: Three distinct directions of intramural activation reveal nonuniform side-to-side electrical coupling of ventricular myocytes. Circ. Arrhythm. Electrophysiol. 2, 433–440 (2009)
Durrer, D., van Dam, R.T., Freud, G.E., Janse, M.J., Meijler, F.L., Arzbaecher, R.C.: Total excitation of the isolated human heart. Circulation 41, 899–912 (1970)
Tomlinson, K.A., Hunter, P.J., Pullan, A.J.: A finite element method for an Eikonal equation model of myocardial excitation wavefront propagation. SIAM J. Appl. Math. 63, 324–350 (2002)
Chinchapatnam, P., Rhode, K.S., Ginks, M., Rinaldi, C.A., Lambiase, P., Razavi, R., Arridge, S., Sermesant, M.: Model-based imaging of cardiac apparent conductivity and local conduction velocity for diagnosis and planning of therapy. IEEE Trans. Med. Imag. 27, 1631–1642 (2008)
Sethian, J.A.: A fast marching level set method for monotonically advancing fronts. Proc. Natl. Acad. Sci. USA 93, 1591–1595 (1996)
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Hoogendoorn, C., Pashaei, A., Sebastián, R., Sukno, F.M., Cámara, O., Frangi, A.F. (2010). Influence of Geometric Variations on LV Activation Times: A Study on an Atlas-Based Virtual Population. In: Camara, O., Pop, M., Rhode, K., Sermesant, M., Smith, N., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. STACOM 2010. Lecture Notes in Computer Science, vol 6364. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15835-3_25
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DOI: https://doi.org/10.1007/978-3-642-15835-3_25
Publisher Name: Springer, Berlin, Heidelberg
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