Abstract
Construction of realistic models of the muscle fibers in myocardium is relevant for simulating the electro-mechanical behavior of the heart. Advances in microscopy imaging have improved the potential for visualization of the 3D distribution of myocytes. In this paper, we propose an approach to identify cardiac fibers structures, in multi-photon confocal microscopy images. Our method is based on contrast invariant features such as the multi-scale local phase image, to obtain a tensor representation of the local structure. We show here some results obtained from multi-photon microscopy images acquired in a fetal rabbit heart, where the cardiac microstructure can be extracted from the image in terms of fiber direction as well as fiber compactness. Experiments from phantom data also show a successful application of the proposed methodology.
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Bishop, M.J., Plank, G., Burton, R.A.B., Schneider, J.E., Gavaghan, D.J., Grau, V., Kohl, P.: Development of an anatomically detailed MRI-derived rabbit ventricular model and assessment of its impact on simulations of electrophysiological function. American Journal of Physiology. Heart and Circulatory Physiology 298(2), H699–H718 (2010)
Punske, B.B., Taccardi, B., Steadman, B., Ershler, P.R., England, A., Valencik, M.L., McDonald, J.A., Litwin, S.E.: Effect of fiber orientation on propagation: electrical mapping of genetically altered mouse hearts. Journal of Electrocardiology 38(4), 40–44 (2005)
Weiss, D., Seemann, G., Keller, D., Farina, D., Sachse, F., Dossel, O.: Modeling of heterogeneous electrophysiology in the human heart with respect to ECG genesis. In: Computers in Cardiology, pp. 49–52. IEEE (2007)
Billet, F., Sermesant, M., Delingette, H., Ayache, N.: Cardiac motion recovery and boundary conditions estimation by coupling an electromechanical model and cine-MRI data. In: Ayache, N., Delingette, H., Sermesant, M. (eds.) FIMH 2009. LNCS, vol. 5528, pp. 376–385. Springer, Heidelberg (2009)
Chang, H.H., Moura, J.M., Wu, Y.L., Sato, K., Ho, C.: Reconstruction of 3d dense cardiac motion from tagged MR sequences. In: IEEE International Symposium on Biomedical Imaging: Nano to Macro, pp. 880–883. IEEE (2004)
Arts, T., Prinzen, F.W., Snoeckx, L., Rijcken, J.M., Reneman, R.S.: Adaptation of cardiac structure by mechanical feedback in the environment of the cell: a model study. Biophysical Journal 66(4), 953–961 (1994)
Arts, T., Reneman, R.S., Veenstra, P.C.: A model of the mechanics of the left ventricle. Annals of Biomedical Engineering 7(3), 299–318 (1979)
Bovendeerd, P., Arts, T., Huyghe, J., Van Campen, D., Reneman, R.: Dependence of local left ventricular wall mechanics on myocardial fiber orientation: a model study. Journal of Biomechanics 25(10), 1129–1140 (1992)
Chadwick, R.: Mechanics of the left ventricle. Biophysical Journal 39(3), 279–288 (1982)
Streeter, D.D., Spotnitz, H.M., Patel, D.P., Ross, J., Sonnenblick, E.H.: Fiber Orientation in the Canine Left Ventricle during Diastole and Systole. Circulation Research 24(3), 339–347 (1969)
Lekadir, K., Ghafaryasl, B., Muñoz-Moreno, E., Butakoff, C., Hoogendoorn, C., Frangi, A.F.: Predictive modeling of cardiac fiber orientation using the knutsson mapping. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part II. LNCS, vol. 6892, pp. 50–57. Springer, Heidelberg (2011)
Kovesi, P.: Image features from phase congruency. Videre: Journal of Computer Vision Research 1(3), 1–26 (1999)
Field, D.J., et al.: Relations between the statistics of natural images and the response properties of cortical cells. J. Opt. Soc. Am. A 4(12), 2379–2394 (1987)
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Ghafaryasl, B., Bijnens, B.H., van Vliet, E., Crispi, F., Cárdenes, R. (2013). Cardiac Microstructure Estimation from Multi-photon Confocal Microscopy Images. In: Ourselin, S., Rueckert, D., Smith, N. (eds) Functional Imaging and Modeling of the Heart. FIMH 2013. Lecture Notes in Computer Science, vol 7945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38899-6_10
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DOI: https://doi.org/10.1007/978-3-642-38899-6_10
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