Advertisement

Model tags: Direct 3D tracking of heart wall motion from tagged MR images

  • Alistair A. Young
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1496)

Abstract

A method is presented for the reconstruction of 3D heart wall motion directly from tagged magnetic resonance (MR) images, without prior identification of ventricular boundaries or tag stripe locations. Model tags were created as material surfaces which defined the location of the magnetic tags within the model. Image-derived forces acted on the model tags, while the model could also be manipulated by a small number of user-controlled guide points. The method was applied to simulated images in which the true motion was specified, as well as to clinical images of a normal volunteer. The RMS errors in displacement and strain calculated from the simulated images were similar to those obtained using previous stripe tracking and model fitting methods. A significant improvement in analysis time was obtained for the normal volunteer, making the method more clinically viable.

Keywords

Root Mean Square Error Simulated Image Deformable Model Active Contour Model Short Axis Image 
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.

References

  1. 1.
    Axel, L. and L. Dougherty. Heart Wall motion: Improved method of spatial modulation of magnetization for MR imaging. Radiology. 172: 349–350, 1989.CrossRefPubMedGoogle Scholar
  2. 2.
    Zerhouni, E.A., D.M. Parish, W.J. Rogers, A. Yang and E.P. Shapiro. Human heart: Tagging with MR imaging — A method for noninvasive assessment of myocardial motion. Radiology. 169: 59–63, 1988.CrossRefPubMedGoogle Scholar
  3. 3.
    Young, A.A., L. Axel, L. Dougherty, D.K. Bogen and C.S. Prenteau. Validation of tagging with MRI to estimate material deformation. Radiology. 188: 101–108, 1993.CrossRefPubMedGoogle Scholar
  4. 4.
    Young, A.A., D.L. Kraitchman, L. Dougherty and L. Axel. Tracking and finite element analysis of stripe deformation in magnetic resonance tagging. IEEE Trans Medical Imaging. 14: 413–421, 1995.CrossRefPubMedGoogle Scholar
  5. 5.
    Palmon L.C., N. Reichek, S.B. Yeon, N.R. Clark, D. Brownson, E. Hoffman, and L. Axel. Intramural myocardial shortening in hypertensive left ventricular hypertrophy with normal pump function. Circulation, 89(1):122–131, 1994.CrossRefPubMedGoogle Scholar
  6. 6.
    Young, A.A., C.M. Kramer, V.A. Ferrari, L. Axel and N. Reichek. Three-dimensional left ventricular deformation in hypertrophic cardiomyopathy. Circulation. 90: 854–867, 1994.CrossRefPubMedGoogle Scholar
  7. 7.
    O’Dell, W.G., C.C. Moore, W.C. Hunter, E.A. Zerhouni, and E.R. McVeigh. Three-dimensional myocardial deformations: Calculation with displacement field fitting to tagged MR images. Radiology, 195(3):829–835, 1995.CrossRefPubMedPubMedCentralGoogle Scholar
  8. 8.
    Park, J., D. Metaxas, A.A. Young, and L. Axel. Deformable models with parameter functions for cardiac motion analysis from tagged MRI data. IEEE Trans. Medical Imaging, 15(3):278–289, 1996.CrossRefPubMedGoogle Scholar
  9. 9.
    Park, J., D. Metaxas, and L. Axel. Analysis of left ventricular wall motion based on volumetric deformable models and MRI-SPAMM. Medical Image Analysis, 1(1):53–71, 1996.CrossRefPubMedGoogle Scholar
  10. 10.
    O’Donnell, T., A. Gupta and T. Boult. The hybrid volumetric ventriculoid: New model for MR-SPAMM 3-D analysis. Proceedings of Computers in Cardiology, pp 5–8, Vienna, September 1995.Google Scholar
  11. 11.
    O’Donnell, T., T. Boult and A. Gupta. Global models with parametric offsets as applied to cardiac motion recovery. Proceedings of Computer Vision and Pattern Recognition, pp 293–299, San Francisco, June 1996.Google Scholar
  12. 12.
    Denney T.S. Jr. and E.R. McVeigh. Model-free reconstruction of three-dimensional myocardial strain from planar tagged MR images. J. Magnetic Resonance Imaging, 7:799–810. 1997.CrossRefGoogle Scholar
  13. 13.
    Guttman, M.A., J.L. Prince and E.R. McVeigh. Tag and contour detection in tagged MR images of the left ventricle. IEEE Trans. Medical Imaging, 13(1): 74–88, 1994.CrossRefPubMedGoogle Scholar
  14. 14.
    Denney, T.S. Jr., Identification of myocardial tags in tagged MR images without prior knowledge of myocardial contours. XVth International Conference on Information Processing in Medical Imaging, pp 327–340, Poultney, Vermont, June 1997.Google Scholar
  15. 15.
    Young A.A., F.A. Fayad and L. Axel. Right ventricular midwall surface motion and deformation using magnetic resonance tagging. American Journal of Physiology: Heart and Circulatory Physiology. 271:H2677–H2688, 1996.Google Scholar
  16. 16.
    Terzopoulos, D. The computation of visible-surface representations. IEEE Trans. Pattern Analysis and Machine Intelligence. 10: 417–438, 1988.CrossRefGoogle Scholar
  17. 17.
    Lorensen, W.E. and H.E. Cline. Marching cubes: A high resolution 3D surface construction algorithm. Computer Graphics. 21: 163–169, 1987.CrossRefGoogle Scholar
  18. 18.
    Hildreth, E.C. Computations underlying the measurement of visual motion. Artificial Intelligence 23:309–354, 1984.CrossRefGoogle Scholar
  19. 19.
    Davatzikos, C.A. and J.L. Prince. Convexity Analysis of Active Contour Problems. Proceedings of Computer Vision and Pattern Recognition, San Francisco, June 1996.Google Scholar
  20. 20.
    Kerwin, W.S. and J.L. Prince, J.L. Generating 3D cardiac material markers using tagged MRI. XVth International Conference on Information Processing in Medical Imaging. pp 313–326. Poultney, June 1997.Google Scholar
  21. 21.
    Marquardt, D.W. An algorithm for least squares estimation of nonlinear parameters. J Soc Indust Appl Math. 11: 431–441, 1963.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Alistair A. Young
    • 1
  1. 1.Department of Anatomy with RadiologyUniversity of AucklandAucklandNew Zealand

Personalised recommendations