Abstract
Myofibre orientation plays an important role in electrical activation patterns in the heart. Biophysical models of the whole atria, however, have not yet incorporated realistic myofibre architecture. In this study, we use structure tensor (ST) analysis to determine myofibre orientation from high resolution micro-computed tomography (micro-CT) images and investigate the role of different ST image processing parameters on the computed fibre orientation fields. We found that, although some parameter sets can lead to non-physiological over- or under-smooth fibre fields, a wide range of values produced atrial fibre orientations that are in good agreement with previous anatomical and histological studies. The computed fibre fields can be incorporated in realistic 3D electrophysiological simulations to study electrical propagation under physiological and pathological conditions in the entire atria.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Lee, G., Sanders, P., Kalman, J.M.: Catheter ablation of atrial arrhythmias: state of the art. Lancet 380(9852), 1509–1519 (2012)
Ho, S.Y., Anderson, R.H., Sánchez-Quintana, D.: Atrial structure and fibres: morphologic bases of atrial conduction. Cardiovasc. Res. 54(2), 325–336 (2002)
Hocini, M., Ho, S.Y., Kawara, T., Linnenbank, A.C., Potse, M., Shah, D., Jaïs, P., Janse, M.J., Haïssaguerre, M., De Bakker, J.M.T.: Electrical conduction in canine pulmonary veins: electrophysiological and anatomic correlation. Circulation 105(20), 2442–2448 (2002)
Dang, L., Virag, N., Ihara, Z., Jacquemet, V., Vesin, J.M., Schlaepfer, J., Ruchat, P., Kappenberger, L.: Evaluation of Ablation Patterns Using a Biophysical Model of Atrial Fibrillation. Ann. Biomed. Eng. 33(4), 465–474 (2005)
Harrild, D.M., Henriquez, C.S.: A Computer Model of Normal Conduction in the Human Atria. Circ. Res. 87(7), e25–e36 (2000)
Krueger, M.W., Schulze, W.H.W., Rhode, K.S., Razavi, R., Seemann, G., Dössel, O.: Towards personalized clinical in-silico modeling of atrial anatomy and electrophysiology. In: Med. Biol. Eng. Comput., pp. 1–10 (2012)
Aslanidi, O.V., Nikolaidou, T., Zhao, J., Smaill, B.H., Gilbert, S.H., Holden, A.V., Lowe, T., Withers, P.J., Stephenson, R.S., Jarvis, J.C., Hancox, J.C., Boyett, M.R., Zhang, H.: Application of micro-computed tomography with iodine staining to cardiac imaging, segmentation, and computational model development. IEEE T. Med. Imaging 32(1), 8–17 (2013)
Jeffery, N.S., Stephenson, R.S., Gallagher, J.A., Jarvis, J.C., Cox, P.G.: Micro-computed tomography with iodine staining resolves the arrangement of muscle fibres. J. Biomech. 44(1), 189–192 (2011)
Brox, T., Van Den Boomgaard, R., Lauze, F., Van De Weijer, J., Weickert, J., Mrázek, P., Kornprobst, P.: Adaptive structure tensors and their applications. In: Visualization and Image Processing of Tensor Fields, pp. 17–47 (2006)
Kroon, D.-J., Slump, C.H., Maal, T.J.J.: Optimized anisotropic rotational invariant diffusion scheme on cone-beam CT. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010, Part III. LNCS, vol. 6363, pp. 221–228. Springer, Heidelberg (2010)
Gilbert, S.H., Sands, G.B., LeGrice, I.J., Smaill, B.H., Bernus, O., Trew, M.L.: A framework for myoarchitecture analysis of high resolution cardiac MRI and comparison with diffusion Tensor MRI. IEEE Eng. Med. Biol. Soc., 4063–4066 (2012)
Ho, S.Y., Sánchez-Quintana, D.: The importance of atrial structure and fibers. Clin. Anat. 22(1), 52–63 (2009)
Verheule, S., Wilson, E.E., Arora, R., Engle, S.K., Scott, L.R., Olgin, J.E.: Tissue structure and connexin expression of canine pulmonary veins. Cardiovasc. Res. 55(4), 727–738 (2002)
Cabrera, J.A., Ho, S.Y., Climent, V., Sánchez-Quintana, D.: The architecture of the left lateral atrial wall: a particular anatomic region with implications for ablation of atrial fibrillation. Eur. Heart J. 29(3), 356–362 (2008)
Zhao, J., Butters, T.D., Zhang, H., Pullan, A.J., LeGrice, I.J., Sands, G.B., Smaill, B.H.: An image-based model of atrial muscular architecture: effects of structural anisotropy on electrical activation. Circ. Arrhythm. Electrophysiol. 5, 361–370 (2012)
Aslanidi, O.V., Colman, M.A., Stott, J., Dobrzynski, H., Boyett, M.R., Holden, A.V., Zhang, H.: 3D virtual human atria: A computational platform for studying clinical atrial fibrillation. Prog. Biophys. Mol. Biol. 107(1), 156–168 (2011)
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
Varela, M., Zhao, J., Aslanidi, O.V. (2013). Determination of Atrial Myofibre Orientation Using Structure Tensor Analysis for Biophysical Modelling. 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_50
Download citation
DOI: https://doi.org/10.1007/978-3-642-38899-6_50
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)