Abstract
The cardiac fiber architecture has an important role in electrophysiology, in mechanical functions of the heart, and in remodeling processes. The variability of the fibers is the focus of various studies in different species. However, the variability of the laminar sheets is still not well known especially in humans. In this paper, we present preliminary results on a quantitative study on the variability of the human cardiac laminar structure. We show that the laminar structure has a complex variability and we show the possible presence of two populations of laminar sheets. Bimodal distributions of the intersection angle of the third eigenvector of the diffusion tensor have been observed in 10 ex vivo healthy human hearts. Additional hearts will complete the study and further characterize the different populations of cardiac laminar sheets.
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References
Arsigny, V., Fillard, P., Pennec, X., Ayache, N.: Log-Euclidean metrics for fast and simple calculus on diffusion tensors. MRM 56(2), 411–421 (2006)
Basser, P.J., Mattiello, J., LeBihan, D.: MR diffusion tensor spectroscopy and imaging. Biophysical Journal 66(1), 259–267 (1994)
Bishop, M., Hales, P., Plank, G., Gavaghan, D., Scheider, J., Grau, V.: Comparison of Rule-Based and DTMRI-Derived Fibre Architecture in a Whole Rat Ventricular Computational Model. In: Ayache, N., Delingette, H., Sermesant, M. (eds.) FIMH 2009. LNCS, vol. 5528, pp. 87–96. Springer, Heidelberg (2009)
Boykov, Y., Jolly, M.-P.: Interactive Organ Segmentation Using Graph Cuts. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds.) MICCAI 2000. LNCS, vol. 1935, pp. 276–286. Springer, Heidelberg (2000)
Cerqueira, M.D., Weissman, N.J., Dilsizian, V., Jacobs, A.K., Kaul, S., Laskey, W.K., Pennell, D.J., Rumberger, J.A., Ryan, T., Verani, M.S.: Standardized Myocardial Segmentation and Nomenclature for Tomographic Imaging of the Heart: A Statement for Healthcare Professionals From the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Circulation 105(4), 539–542 (2002)
Costa, K.D., Holmes, J.W., McCulloch, A.D.: Modelling cardiac mechanical properties in three dimensions. Mathematical, Physical and Engineering Sciences 359(1783), 1233–1250 (2001)
Frindel, C., Robini, M., Croisille, P., Zhu, Y.-M.M.: Comparison of regularization methods for human cardiac diffusion tensor MRI. Med. Im. An. 13(3) (2009)
Geerts, L., Bovendeerd, P., Nicolay, K., Arts, T.: Characterization of the normal cardiac myofiber field in goat measured with MR-diffusion tensor imaging. Am. J. of Physiology - Heart and Circulatory Physiology 283(1), H139–H145 (2002)
Gilbert, S., Benson, A., Li, P., Holden, A.: Visualisation of Dog Myocardial Structure from Diffusion Tensor Magnetic Resonance Imaging: The Paradox of Uniformity and Variability. In: Sachse, F.B., Seemann, G. (eds.) FIHM 2007. LNCS, vol. 4466, pp. 403–412. Springer, Heidelberg (2007)
Guimond, A., Meunier, J., Thirion, J.P.: Average Brain Models: A Convergence Study. In: CVIU, pp. 192–210 (2000)
Helm, P.A.: A novel technique for quantifying variability of cardiac anatomy: Application to the dyssynchronous failing heart. PhD thesis, Johns Hopkins University (2005)
Helm, P.A., Beg, M.F., Miller, M.I., Winslow, R.L.: Measuring and mapping cardiac fiber and laminar architecture using diffusion tensor MR imaging. Annals of the New York Academy of Sciences 1047, 296–307 (2005)
Helm, P.A., Tseng, H.-J.J., Younes, L., McVeigh, E.R., Winslow, R.L.: Ex vivo 3D diffusion tensor imaging and quantification of cardiac laminar structure. MRM 54(4), 850–859 (2005)
Hooks, D.A., Tomlinson, K.A., Marsden, S.G., LeGrice, I.J., Smaill, B.H., Pullan, A.J., Hunter, P.J.: Cardiac Microstructure: Implications for Electrical Propagation and Defibrillation in the Heart. Circ. Res. 91(4), 331–338 (2002)
Hsu, E.W., Henriquez, C.S.: Myocardial fiber orientation mapping using reduced encoding diffusion tensor imaging. Journal of Cardiovascular Magnetic Resonance 3(4), 339–347 (2001)
LeGrice, I.J., Smaill, B.H., Chai, L.Z., Edgar, S.G., Gavin, J.B., Hunter, P.J.: Laminar structure of the heart: ventricular myocyte arrangement and connective tissue architecture in the dog. Am. J. of physiology 269(2) (1995)
Lombaert, H., Peyrat, J.-M., Croisille, P., Rapacchi, S., Fanton, L., Clarysse, P., Delingette, H., Ayache, N.: Statistical Analysis of the Human Cardiac Fiber Architecture from DT-MRI. In: Metaxas, D.N., Axel, L. (eds.) FIMH 2011. LNCS, vol. 6666, pp. 171–179. Springer, Heidelberg (2011)
Lombaert, H., Peyrat, J.-M., Rapacchi, S., Fanton, L., Delingette, H., Croisille, P., Clarysse, P., Ayache, N.: In: ISMRM (2011)
Mansi, T., Pennec, X., Sermesant, M., Delingette, H., Ayache, N.: iLogDemons: A Demons-Based registration algorithm for tracking incompressible elastic biological tissues. IJCV, 1–20 (2010)
Nielsen, P.M., Le Grice, I.J., Smaill, B.H., Hunter, P.J.: Mathematical model of geometry and fibrous structure of the heart. Am. J. of Physiology, Heart Circulatory Physiology 260(4), H1365–H1378 (1991)
Peyrat, J.M.: Comparison of Cardiac Anatomy and Function: Statistics on Fibre Architecture from DT-MRI and Registration of 4D CT Images. PhD thesis, Nice Sophia Antipolis University (2009)
Peyrat, J.-M., Sermesant, M., Pennec, X., Delingette, H., Xu, C., McVeigh, E.R., Ayache, N.: A Computational Framework for the Statistical Analysis of Cardiac Diffusion Tensors: Application to a Small Database of Canine Hearts. IEEE TMI 26(11), 1500–1514 (2007)
Rapacchi, S., Croisille, P., Pai, V., Grenier, D., Viallon, M., Kellman, P., Mewton, N., Wen, H.: Reducing motion sensitivity in free breathing DWI of the heart with localized Principal Component Analysis. In: ISMRM (2010)
Silver, M., Gotlieb, A.I., Schoen, F.R.: Cardiovascular Pathology, 3rd edn. Churchill Livingstone (2001)
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. Circ. Res. 24(3), 339–347 (1969)
Sundar, H., Shen, D., Biros, G., Litt, H., Davatzikos, C.: Estimating Myocardial Fiber Orientations by Template Warping. In: ISBI, pp. 73–76 (2006)
Tseng, W.-Y.Y., Wedeen, V.J., Reese, T.G., Smith, R.N., Halpern, E.F.: Diffusion tensor MRI of myocardial fibers and sheets: correspondence with visible cut-face texture. J. of Mag. Res. Im. 17(1), 31–42 (2003)
van Leeuwenhoek, A.: Correspondence with the members of the royal society in london. Letter no 82 (April 1694)
Vercauteren, T., Pennec, X., Perchant, A., Ayache, N.: Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part I. LNCS, vol. 5241, pp. 754–761. Springer, Heidelberg (2008)
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Lombaert, H. et al. (2012). Variability of the Human Cardiac Laminar Structure. In: Camara, O., Konukoglu, E., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2011. Lecture Notes in Computer Science, vol 7085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28326-0_16
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DOI: https://doi.org/10.1007/978-3-642-28326-0_16
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