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.
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
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-642-38899-6_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38898-9
Online ISBN: 978-3-642-38899-6
eBook Packages: Computer ScienceComputer Science (R0)