Advertisement

Detecting Rat Heart Myocardial Fiber Directions in X-ray Microtomography Using Coherence-Enhancing Diffusion Filtering

  • Birgit Stender
  • Alexander Schlaefer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7945)

Abstract

Because the electrical and mechanical properties of myocardial tissue are strongly anisotropic the local fiber direction is an important parameter for realistic computational models of cardiac excitation and motion. Within the last years Diffusion Tensor Imaging has been established as a noninvasive measuring technique for fiber directions from whole hearts ex vivo. X-ray microtomography offers a much higher spatial resolution than Diffusion Tensor Imaging and could scan a whole heart as well. The inherently low soft-tissue contrast can be enhanced through staining with iodine. We recorded a volumetric scan of a rat heart and filtered the imaging data with a coherence-enhancing anisotropic diffusion filter to enhance its microstructure. The filtering was performed in three dimensions. From the structure tensor of the filtered volumes scalar measurements and fiber tracts were calculated and used for visualization and further analysis.

Keywords

Diffusion Tensor Pulmonary Vein Isolation Anisotropic Diffusion Structure Tensor Cardiac Conduction System 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Allessie, M., Ausma, J., Schotten, U.: Electrical, contractile and structural remodeling during atrial fibrillation. Cardiovasc. Res. 54(2), 230–246 (2002)CrossRefGoogle Scholar
  2. 2.
    Goergen, C.J., Radhakrishnan, H., Sakadic, S., Mandeville, E.T., Lo, E.H., Sosnovik, D.E., Srinivasan, V.J.: Optical coherence tractography using intrinsic contrast. Opt. Lett. 37(18), 3882–3884 (2012)CrossRefGoogle Scholar
  3. 3.
    Gottschlich, C., Schönlieb, C.-B.: Oriented diffusion filtering for enhancing low-quality fingerprint images. IET Biometrics 1(2), 105–113 (2012)CrossRefGoogle Scholar
  4. 4.
    Helm, P., Beg, M.F., Miller, M.I., Winslow, R.L.: Measuring and mapping cardiac fiber and laminar architecture using diffusion tensor MR imaging. Ann. N. Y. Acad. Sci. 1047, 296–307 (2005)CrossRefGoogle Scholar
  5. 5.
    Holmes, A.A., Scollan, D.F., Winslow, R.L.: Direct histological validation of diffusion tensor MRI in formaldehyde-fixed myocardium. Magn. Reson. Med. 44(1), 157–161 (2005)CrossRefGoogle Scholar
  6. 6.
    Klber, A.G., Rudy, Y.: Basic mechanisms of cardiac impulse propagation and associated arrhythmias. Physiol. Rev. 84(2), 431–488 (2004)CrossRefGoogle Scholar
  7. 7.
    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)CrossRefGoogle Scholar
  8. 8.
    Kumar, S., Teh, A.W., Medi, C., Kistler, P.M., Morton, J.B., Kalman, J.M.: Atrial remodeling in varying clinical substrates within beating human hearts: relevance to atrial fibrillation. Prog. Biophys. Mol. Biol. 110(2-3), 278–294 (2012)CrossRefGoogle Scholar
  9. 9.
    Lee, W.N., Larrat, B., Pernot, M., Tanter, M.: Ultrasound elastic tensor imaging: comparison with MR diffusion tensor imaging in the myocardium. Phys. Med. Biol. 57(16), 5075–5095 (2012)CrossRefGoogle Scholar
  10. 10.
    Pieper, S., Halle, M., Kikinis, R.: 3D slicer. In: Proceedings of the 1st IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 632–635 (2004)Google Scholar
  11. 11.
    Stephenson, R.S., Boyett, M.R., Hart, G., Nikolaidou, T., Cai, X., Corno, A.F., Alphonso, N., Jeffery, N., Jarvis, J.C.: Contrast enhanced micro-computed tomography resolves the 3-dimensional morphology of the cardiac conduction system in mammalian hearts. PLoS One 7(4), e35299 (2012)Google Scholar
  12. 12.
    Sun, Y.: Myocardial repair/remodelling following infarction: roles of local factors. Cardiovasc. Res. 81(3), 482–490 (2009)CrossRefGoogle Scholar
  13. 13.
    Valderrbano, M.: Influence of anisotropic conduction properties in the propagation of the cardiac action potential. Prog. Biophys. Mol. Biol. 94(1-2), 144–168 (2007)CrossRefGoogle Scholar
  14. 14.
    Weickert, J.: Anisotropic Diffusion in Image Processing. Teubner-Verlag, Stuttgart (1998)zbMATHGoogle Scholar
  15. 15.
    Weickert, J., Scharr, H.: A scheme for coherence-enhancing diffusion filtering with optimized rotation invariance. J. Vis. Commun. Image Represent. 13(1), 103–118 (2002)CrossRefGoogle Scholar
  16. 16.
    Zhukov, L., Barr, A.H.: Heart-muscle fiber reconstruction from diffusion tensor MRI. In: Proceedings of the 14th IEEE Visualization 2003 (VIS 2003), vol. 79, IEEE Computer Society (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Birgit Stender
    • 1
  • Alexander Schlaefer
    • 1
  1. 1.Medical Robotics, Institute for Robotics and Cognitive SystemsUniversity of LübeckGermany

Personalised recommendations