Table of Contents Author Guidelines Submit a Manuscript
International Journal of Biomedical Imaging
Volume 2006, Article ID 53050, 11 pages
http://dx.doi.org/10.1155/IJBI/2006/53050

Elasto-mammography: Theory, Algorithm, and Phantom Study

1Department of Civil and Environmental Engineering, The University of Iowa, Iowa City, IA 52242, USA
2Department of Radiology, The University of Iowa, Iowa City, IA 52242, USA
3Department of Civil and Environmental Engineering, University of California, Irvine, CA 92697, USA

Received 4 September 2005; Accepted 7 November 2005

Academic Editor: Jie Tian

Copyright © 2006 Z. G. Wang 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. S. Muller, “Full-field digital mammography designed as a complete system,” European Journal of Radiology, vol. 31, no. 1, pp. 25–34, 1999. View at Publisher · View at Google Scholar
  2. P. J. Kornguth and R. C. Bentley, “Mammographic-pathologic correlation: Part 1. Benign breast lesions,” Journal of Women's Imaging, vol. 3, no. 1, pp. 29–37, 2001. View at Google Scholar
  3. A. P. Sarvazyan, A. R. Skovoroda, S. Y. Emelianov et al., “Biophysical bases of elasticity imaging,” in Acoustical Imaging, vol. 21, pp. 223–240, Plenum Press, New York, NY, USA, 1995. View at Google Scholar
  4. P. Wellman, R. Howe, E. Dalton, and K. A. Kern, “Breast tissue stiffness in compression is correlated to histological diagnosis,” Tech. Rep., Harvard BioRobotics Laboratory, Harvard University, Cambridge, Mass, USA, 1999. View at Google Scholar
  5. A. R. Skovoroda, A. N. Klishko, D. A. Gusakian et al., “Quantitative analysis of mechanical characteristics of pathologically altered soft biological tissues,” Biofizika, vol. 40, no. 6, pp. 1335–1340, 1995. View at Google Scholar
  6. J. Ophir, I. Céspedes, H. Ponnekanti, Y. Yazdi, and X. Li, “Elastography: a quantitative method for imaging the elasticity of biological tissues,” Ultrasonic Imaging, vol. 13, no. 2, pp. 111–134, 1991. View at Publisher · View at Google Scholar
  7. J. Ophir, S. K. Alam, B. Garra et al., “Elastography: ultrasonic estimation and imaging of the elastic properties of tissues,” Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 213, no. 3, pp. 203–233, 1999. View at Publisher · View at Google Scholar
  8. R. Souchon, L. Soualmi, M. Bertrand, J.-Y. Chapelon, F. Kallel, and J. Ophir, “Ultrasonic elastography using sector scan imaging and a radial compression,” Ultrasonics, vol. 40, no. 1–8, pp. 867–871, 2002. View at Publisher · View at Google Scholar
  9. R. Muthupillai, D. J. Lomas, P. J. Rossman, J. F. Greenleaf, A. Manduca, and R. L. Ehman, “Magnetic resonance elastography by direct visualization of propagating acoustic strain waves,” Science, vol. 269, no. 5232, pp. 1854–1857, 1995. View at Publisher · View at Google Scholar
  10. A. Manduca, T. E. Oliphant, M. A. Dresner et al., “Magnetic resonance elastography: non-invasive mapping of tissue elasticity,” Medical Image Analysis, vol. 5, no. 4, pp. 237–254, 2001. View at Publisher · View at Google Scholar
  11. D. B. Plewes, J. Bishop, A. Samani, and J. Sciarretta, “Visualization and quantification of breast cancer biomechanical properties with magnetic resonance elastography,” Physics in Medicine and Biology, vol. 45, no. 6, pp. 1591–1610, 2000. View at Publisher · View at Google Scholar
  12. A. Samani, J. Bishop, and D. B. Plewes, “A constrained modulus reconstruction technique for breast cancer assessment,” IEEE Transactions on Medical Imaging, vol. 20, no. 9, pp. 877–885, 2001. View at Publisher · View at Google Scholar
  13. Y. Liu, L. Z. Sun, and G. Wang, “Tomography-based 3-D anisotropic elastography using boundary measurements,” IEEE Transactions on Medical Imaging, vol. 24, no. 10, pp. 1323–1333, 2005. View at Publisher · View at Google Scholar
  14. D. C. Liu and J. Nocedal, “On the limited memory BFGS method for large scale optimization,” Mathematical Programming, vol. 45, no. 1–3, pp. 503–528, 1989. View at Publisher · View at Google Scholar
  15. A. A. Oberai, N. H. Gokhale, and G. R. Feijóo, “Solution of inverse problems in elasticity imaging using the adjoint method,” Inverse Problems, vol. 19, no. 2, pp. 297–313, 2003. View at Publisher · View at Google Scholar
  16. T. Belytschko, W. K. Liu, and B. Moran, Nonlinear Finite Elements for Continua and Structures, John Wiley & Sons, New York, NY, USA, 2000.
  17. D. Page, A. Koschan, S. Voisin, N. Ali, and M. Abidi, “3D CAD model generation of mechanical parts using coded-pattern projection and laser triangulation systems,” Assembly Automation, vol. 25, no. 3, pp. 230–238, 2005. View at Publisher · View at Google Scholar
  18. J. D. Eshelby, “The determination of the elastic field of an ellipsoidal inclusion, and related problems,” Proceedings of the Royal Society of London. Series A, vol. 241, no. 1226, pp. 376–396, 1957. View at Google Scholar
  19. J. V. Hajnal, D. L. G. Hill, and D. J. Hawkes, Eds., Medical Image Registration, CRC Press, Boca Raton, Fla, USA, 2001.