Table of Contents Author Guidelines Submit a Manuscript
Computational and Mathematical Methods in Medicine
Volume 2013 (2013), Article ID 293069, 7 pages
http://dx.doi.org/10.1155/2013/293069
Research Article

Embryonic Heart Morphogenesis from Confocal Microscopy Imaging and Automatic Segmentation

1Computational Biomedicine Laboratory, Rochester Institute of Technology, Rochester, NY 14623, USA
2Department of Pharmacology, SUNY Upstate Medical University, Syracuse, NY 13210, USA

Received 10 October 2013; Accepted 14 November 2013

Academic Editor: Heye Zhang

Copyright © 2013 Hongda Mao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. Icardo and F. Manasek, “Cardiogenesis: development mechanisms and embryology,” in The Heart and Cardiovascular System, pp. 1563–1586, 1992. View at Google Scholar
  2. World Health Organization, Global Atlas on Cardiovascular Disease Prevention and Control, Expert Review of Medical Devices, 2011.
  3. J. Lacktis and F. Manasek, “An analysis of deformation during a normal morphogenic event,” Morphogenesis and Malformation of the Cardiovascular System, vol. 17, pp. 205–227, 1978. View at Google Scholar
  4. L. A. Taber, B. B. Keller, and E. B. Clark, “Cardiac mechanics in the stage-16 chick embryo,” Journal of Biomechanical Engineering, vol. 114, no. 4, pp. 427–434, 1992. View at Google Scholar · View at Scopus
  5. M. Liebling, J. Vermot, and S. E. Fraser, “Double time-scale image reconstruction of the beating and developing embryonic zebrafish heart,” in Proceedings of the 5th IEEE International Symposium on Biomedical Imaging, pp. 855–858, May 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. B. C. W. Groenendijk, B. P. Hierck, J. Vrolijk et al., “Changes in shear stress-related gene expression after experimentally altered venous return in the chicken embryo,” Circulation Research, vol. 96, no. 12, pp. 1291–1298, 2005. View at Publisher · View at Google Scholar · View at Scopus
  7. M. Liebling, A. S. Forouhar, R. Wolleschensky et al., “Rapid three-dimensional imaging and analysis of the beating embryonic heart reveals functional changes during development,” Developmental Dynamics, vol. 235, no. 11, pp. 2940–2948, 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. J. T. Butcher, D. Sedmera, R. E. Guldberg, and R. R. Markwald, “Quantitative volumetric analysis of cardiac morphogenesis assessed through micro-computed tomography,” Developmental Dynamics, vol. 236, no. 3, pp. 802–809, 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. M. W. Jenkins, F. Rothenberg, D. Roy et al., “4D embryonic cardiography using gated optical coherence tomography,” Optics Express, vol. 14, no. 2, pp. 736–748, 2006. View at Publisher · View at Google Scholar · View at Scopus
  10. B. Smith, “Magnetic resonance microscopy in cardiac development,” Microscopy Research and Technique, vol. 52, pp. 323–330, 2001. View at Google Scholar
  11. T. Goldstein and S. Osher, “The split Bregman method for L1 regularized problems,” SIAM Journal on Imaging Sciences, vol. 2, pp. 323–343, 2009. View at Google Scholar
  12. H. Mao, H. Liu, and P. Shi, “A convex neighbor-constrained active contour model for image segmentation,” in Proceedings of the 17th IEEE International Conference on Image Processing (ICIP '10), pp. 793–796, September 2010. View at Publisher · View at Google Scholar · View at Scopus
  13. J. Fishbaugh, M. Prastawa, S. Durrleman, J. Piven, and G. Gerig, “Analysis of longitudinal shape variability via subject specific growth modeling,” in Medical Image Computing and Computer Assisted Intervention, pp. 731–738, 2012. View at Google Scholar
  14. S. Durrleman, X. Pennec, A. Trouve, G. Gerig, and N. Ayache, “Spatiotemporal atlas estimation for developmental delay detection in longitudinal datasets,” in Medical Image Computing and Computer Assisted Intervention, pp. 297–304, 2009. View at Google Scholar
  15. K. W. Fong, A. Toi, S. Salem et al., “Detection of fetal structural abnormalities with US during early pregnancy,” Radiographics, vol. 24, no. 1, pp. 157–174, 2004. View at Google Scholar · View at Scopus
  16. E. A. Genina, A. N. Bashkatov, and V. V. Tuchin, “Tissue optical immersion clearing,” Expert Review of Medical Devices, vol. 7, no. 6, pp. 825–842, 2010. View at Publisher · View at Google Scholar · View at Scopus
  17. R. M. Smith, A. Matiukas, C. W. Zemlin, and A. M. Pertsov, “Nondestructive optical determination of fiber organization in intact myocardial wall,” Microscopy Research and Technique, vol. 71, no. 7, pp. 510–516, 2008. View at Publisher · View at Google Scholar · View at Scopus
  18. N. Dey, L. Blanc-Feraud, C. Zimmer et al., “Richardson-Lucy algorithm with total variation regularization for 3D confocal microscope deconvolution,” Microscopy Research and Technique, vol. 69, no. 4, pp. 260–266, 2006. View at Publisher · View at Google Scholar · View at Scopus
  19. T. F. Chan and L. A. Vese, “Active contours without edges,” IEEE Transactions on Image Processing, vol. 10, no. 2, pp. 266–277, 2001. View at Publisher · View at Google Scholar · View at Scopus
  20. X. Bresson, S. Esedoglu, P. Vandergheynst, J.-P. Thiran, and S. Osher, “Fast global minimization of the active contour/snake model,” Journal of Mathematical Imaging and Vision, vol. 28, no. 2, pp. 151–167, 2007. View at Publisher · View at Google Scholar · View at Scopus
  21. P. A. Yushkevich, J. Piven, H. C. Hazlett et al., “User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability,” NeuroImage, vol. 31, no. 3, pp. 1116–1128, 2006. View at Publisher · View at Google Scholar · View at Scopus
  22. S. Goenezen, M. Rennie, and S. Rugonyi, “Biomechanics of early cardiac development,” Biomechanics and Modeling in Mechanobiology, vol. 11, pp. 1187–1204, 2012. View at Google Scholar