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Statistical Analysis of the Human Cardiac Fiber Architecture from DT-MRI

  • Herve Lombaert
  • Jean-Marc Peyrat
  • Pierre Croisille
  • Stanislas Rapacchi
  • Laurent Fanton
  • Patrick Clarysse
  • Herve Delingette
  • Nicholas Ayache
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6666)

Abstract

A statistical atlas of the cardiac fiber architecture is built for the first time with a human dataset of 10 healthy ex vivo hearts acquired using DT-MRI. The atlas is constructed using an efficient semi-automated method where limited interactions are only required to segment the myocardium. All hearts are registered automatically by an efficient and robust non linear registration method. The statistical atlas gives a better understanding of the human cardiac fiber architecture. The study on the global variability of the human cardiac fiber architecture reveals that the fiber orientation is more stable than the laminar sheet orientation. The variability is also consistent across the left ventricular AHA segments. Moreover this atlas could be used for cardiac electromechanical modeling as well as a basis for more precise extrapolation models, essential for in vivo cardiac DT-MRI acquisition.

Keywords

Myocardial Segment Helix Angle Human Dataset Joint Histogram Laminar Sheet 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Alexander, D.C., Pierpaoli, C., Basser, P.J., Gee, J.C.: Spatial transformations of diffusion tensor magnetic resonance images. IEEE Trans. on Medical Imaging 20(11) (2001)Google Scholar
  2. 2.
    Arsigny, V., Fillard, P., Pennec, X., Ayache, N.: Log-Euclidean metrics for fast and simple calculus on diffusion tensors. Mag. Res. in Med. 56(2) (2006)Google Scholar
  3. 3.
    Basser, P.J., Mattiello, J., LeBihan, D.: MR diffusion tensor spectroscopy and imaging. Biophysics Journal 66(1) (1994)Google Scholar
  4. 4.
    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)CrossRefGoogle Scholar
  5. 5.
    Dou, J., Tseng, W.-Y.I., Reese, T.G., Wedeen, V.J.: Combined diffusion and strain MRI reveals structure and function of human myocardial laminar sheets in vivo. Mag. Res. in Med. 50(1) (2003)Google Scholar
  6. 6.
    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)Google Scholar
  7. 7.
    Gamper, U., Boesiger, P., Kozerke, S.: Diffusion imaging of the in vivo heart using spin echoes–considerations on bulk motion sensitivity. Mag. Res. in Med. 57(2) (2007)Google Scholar
  8. 8.
    Guimond, A., Meunier, J., Thirion, J.P.: Average Brain Models: A Convergence Study. Comp. Vis. and Im. Und. (2000)Google Scholar
  9. 9.
    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. Mag. Res. in Med. 54(4) (2005)Google Scholar
  10. 10.
    Hsu, E.W., Henriquez, C.S.: Myocardial fiber orientation mapping using reduced encoding diffusion tensor imaging. J. of Card. Mag. Res. 3(4) (2001)Google Scholar
  11. 11.
    Lasher, R.A., Hitchcock, R.W., Sachse, F.B.: Towards modeling of cardiac micro-structure with catheter-based confocal microscopy: a novel approach for dye delivery and tissue characterization. IEEE Trans. on Medical Imaging 28(8) (2009)Google Scholar
  12. 12.
    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 Phys. - Heart and Circ. Phys. 260(4) (1991)Google Scholar
  13. 13.
    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 Trans. on Medical Imaging 26(11) (2007)Google Scholar
  14. 14.
    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)Google Scholar
  15. 15.
    Rohmer, D., Sitek, A., Gullberg, G.T.: Reconstruction and visualization of fiber and laminar structure in the normal human heart from ex vivo diffusion tensor magnetic resonance imaging (DTMRI) data. Investigative Radiology 42(11) (2007)Google Scholar
  16. 16.
    Seemann, G., Keller, D.U.J., Weiss, D.L., Dossel, O.: Modeling human ventricular geometry and fiber orientation based on diffusion tensor MRI. In: Comp. in Card. (2006)Google Scholar
  17. 17.
    Toussaint, N., Sermesant, M., Stoeck, C.T., Kozerke, S., Batchelor, P.G.: In vivo human 3D cardiac fibre architecture: Reconstruction using curvilinear interpolation of diffusion tensor images. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6361, pp. 418–425. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  18. 18.
    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)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Herve Lombaert
    • 1
    • 2
  • Jean-Marc Peyrat
    • 3
  • Pierre Croisille
    • 4
  • Stanislas Rapacchi
    • 4
  • Laurent Fanton
    • 5
  • Patrick Clarysse
    • 4
  • Herve Delingette
    • 2
  • Nicholas Ayache
    • 2
  1. 1.École Polytechnique de MontréalCanada
  2. 2.Asclepios, INRIA Sophia-AntipolisFrance
  3. 3.Siemens Molecular ImagingOxfordUK
  4. 4.CREATISUniversité de LyonFrance
  5. 5.Institut Universitaire de Médecine LégaleUniversité de LyonFrance

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