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Measurement of 3D motion of myocardial material points from explicit B-surface reconstruction of tagged MRI data

  • Amir A. Amini
  • Petia Radeva
  • Mohamed Elayyadi
  • Debiao Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1496)

Abstract

MRI is unique in its ability to non-invasively and selectively alter tissue magnetization, and create tag planes intersecting image slices. The resulting grid of signal voids allows for tracking deformations of tissues in otherwise homogeneous-signal myocardial regions. In this paper, we propose a specific Spatial Modulation of Magnetization (SPAMM) imaging protocol together with efficient techniques for measurement of 3D motion of material points of the human heart from images collected with the SPAMM method. The techniques make use of tagged images in orthogonal views by explicitly reconstructing 3D B-spline surface representation of each tag plane (two intersecting the short-axis (SA) image slices and one intersecting the long-axis (LA) image slices). The developed methods allow for viewing deformations of 3D tag surfaces, spatial correspondence of long-axis and short-axis image slice and tag positions, as well as non-rigid movement of myocardial material points as a function of time.

Keywords

Control Point Material Point Image Slice Scout Image Total Imaging Time 
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.
    A. A. Amini, R. W. Curwen, and John C. Gore. Snakes and splines for tracking non-rigid heart motion. In European Conference on Computer Vision, pages 251–261, University of Cambridge, UK, April 1996.Google Scholar
  2. 2.
    A. A. Amini and et al. Energy-minimizing deformable grids for tracking tagged MR cardiac images. In Computers in Cardiology, pages 651–654, 1992.Google Scholar
  3. 3.
    F. Bookstein. Principal warps: Thin-plate splines and the decomposition of deformations. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-11:567–585, 1989.CrossRefGoogle Scholar
  4. 4.
    S. Gupta and J. Prince. On variable brightness optical flow for tagged MRI. In Information Processing in Medical Imaging (IPMI), pages 323–334, 1995.Google Scholar
  5. 5.
    M. Guttman, J. Prince, and E. McVeigh. Tag and contour detection in tagged MR images of the left ventricle. IEEE Transactions on Medical Imaging, 13(1):74–88, 1994.CrossRefPubMedGoogle Scholar
  6. 6.
    W. Kerwin and J. Prince. Generating 3-D cardiac material markers using tagged mri. In Information Processing in Medical Imaging (IPMI), pages 313–326, 1997.Google Scholar
  7. 7.
    S. Menet, P. Saint-Marc, and G. Medioni. B-snakes: Implementation and application to stereo. In Proceedings of the DARPA Image Understanding Workshop, Pittsburgh, PA, pages 720–726, Sept. 1990.Google Scholar
  8. 8.
    Michael E. Mortenson. Geometric Modeling. John Wiley and Sons, New York,1985.Google Scholar
  9. 9.
    J. Park, D. Metaxas, and L. Axel. Volumetric deformable models with parameter functions: A new approach to the 3d motion analysis of the LV from MRI-SPAMM. In International Conference on Computer Vision, pages 700–705, 1995.Google Scholar
  10. 10.
    P. Radeva, A. Amini, and J. Huang. Deformable B-Solids and implicit snakes for 3D localization and tracking of SPAMM MRI data. Computer Vision and Image Understanding, 66(2):163–178, May 1997.CrossRefGoogle Scholar
  11. 11.
    A. Young, D. Kraitchman, L. Dougherty, and L. Axel. Tracking and finite element analysis of stripe deformation in magnetic resonance tagging. IEEE Transactions on Medical Imaging, 14(3):413–421, September 1995.CrossRefPubMedGoogle Scholar
  12. 12.
    E. Zerhouni, D. Parish, W. Rogers, A. Yang, and E. Shapiro. Human heart: Tagging with MR imaging — a method for noninvasive assessment of myocardial motion. Radiology, 169:59–63, 1988.CrossRefPubMedGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Amir A. Amini
    • 1
  • Petia Radeva
    • 1
  • Mohamed Elayyadi
    • 1
  • Debiao Li
    • 1
  1. 1.CVIA LabWashington University Medical CenterSt. Louis

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