Advertisement

Construction of a Cardiac Motion Atlas from MR Using Non-rigid Registration

  • A. Rao
  • G. I. Sanchez-Ortiz
  • R. Chandrashekara
  • M. Lorenzo-Valdés
  • R. Mohiaddin
  • D. Rueckert
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2674)

Abstract

In this paper we present a technique for constructing a cardiac motion atlas using the myocardial motion fields derived from 4D MR image sequences of a series of subjects. This is achieved by transforming the motion field of each subject into a the coordinate system of a reference subject, and then averaging the transformed fields to give a vector field representing the mean motion of the heart. The motion fields of each subject are calculated by registering each of the frames in the sequence of tagged short-axis and long-axis MRI images to the end-diastolic frame using a non-rigid registration technique based on multi-level free-form deformations. The end-diastolic untagged short-axis images of each subject, which are acquired shortly after the tagged images, are registered to the corresponding image of a designated reference subject using non-rigid registration to determine reference-subject mappings, which are then used to transform the corresponding motion fields into that of the reference subject. Finally, the mean transformed motion field is calculated to give the cardiac motion atlas.

Keywords

Motion Vector Normalise Mutual Information Cardiac Motion Motion Field Reference Subject 
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.
    American Heart Association. Heart and stroke statistical update. http://www.americanheart.org/, 2002.
  2. 2.
    E. A. Zerhouni, 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(1):59–63, 1988.Google Scholar
  3. 3.
    L. Axel and L. Dougherty. MR imaging of motion with spatial modulation of magnetization. Radiology, 171(3):841–845, 1989.Google Scholar
  4. 4.
    R. Chandrashekara, R. H. Mohiaddin, and D. Rueckert. Analysis of myocardial motion in tagged MR images using non-rigid image registration. In Proc. SPIE Medical Imaging 2002: Image Processing, San Diego, CA, February 2002. In press.Google Scholar
  5. 5.
    A. Rao, G. I. Sanchez-Ortiz, R. Chandrashekara, M. Lorenzo-Valdes, R. Mohiaddin, and D. Rueckert. Comparison of cardiac motion across subjects using non-rigid registration. In Fifth Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI’02), pages 722–729, 2002.Google Scholar
  6. 6.
    H. Johnson and G.E. Christensen. Consistent landmark and intensity-based image registration. IEEE Transactions on Medical Imaging, 21(5):450–461, 2002.CrossRefGoogle Scholar
  7. 7.
    D. Rueckert, L. I. Sonoda, C. Hayes, D. L. G. Hill, M. O. Leach, and D. J. Hawkes. Nonrigid registration using free-form deformations: Application to breast MR images. IEEE Transactions on Medical Imaging, 18(8): 712–721, August 1999.CrossRefGoogle Scholar
  8. 8.
    C. Studholme, D. L. G. Hill, and D. J. Hawkes. An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition, 32(1):71–86, 1998.CrossRefGoogle Scholar
  9. 9.
    J. A. Schnabel, D. Rueckert, M. Quist, J. M. Blackall, A. D. Castellano Smith, T. Hartkens, G. P. Penney, W. A. Hall, H. Liu, C. L. Truwit, F. A. Gerritsen, D. L. G. Hill, and D. J. Hawkes. A generic framework for non-rigid registration based on non-uniform multi-level free-form deformations. In Fourth Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI’ 01), pages 573–581, Utrecht, NL, October 2001.Google Scholar
  10. 10.
    D. Perperidis, A. Rao, M. Lorenzo-Valdes, R. Mohiaddin, and D. Rueckert. Spatio-temporal alignment of 4d cardiac mr images. In Second International Workshop on Functional Imaging and Modeling of the Heart, 2003. Submitted.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • A. Rao
    • 1
  • G. I. Sanchez-Ortiz
    • 1
  • R. Chandrashekara
    • 1
  • M. Lorenzo-Valdés
    • 1
  • R. Mohiaddin
    • 2
  • D. Rueckert
    • 1
  1. 1.Visual Information Processing Group, Department of ComputingImperial College of Science, Technology, and MedicineUK
  2. 2.Royal Bromptom and Harefield NHS TrustUK

Personalised recommendations