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Quantification of Growth and Motion Using Non-rigid Registration

  • D. Rueckert
  • R. Chandrashekara
  • P. Aljabar
  • K. K. Bhatia
  • J. P. Boardman
  • L. Srinivasan
  • M. A. Rutherford
  • L. E. Dyet
  • A. D. Edwards
  • J. V. Hajnal
  • R. Mohiaddin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4241)

Abstract

Three-dimensional (3D) and four-dimensional (4D) imaging of dynamic structures is a rapidly developing area of research in medical imaging. Non-rigid registration plays an important role for the analysis of these datasets. In this paper we will show some of the work of our group using non-rigid registration techniques for the detection of temporal changes such as growth in brain MR images. We will also show how non-rigid registration can be used to analyze the motion of the heart from cardiac MR images.

Keywords

Image Registration Cardiac Motion Epicardial Surface Computer Assist Tomography Medical Image Registration 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • D. Rueckert
    • 1
  • R. Chandrashekara
    • 1
  • P. Aljabar
    • 1
  • K. K. Bhatia
    • 1
  • J. P. Boardman
    • 2
  • L. Srinivasan
    • 2
  • M. A. Rutherford
    • 2
  • L. E. Dyet
    • 2
  • A. D. Edwards
    • 2
  • J. V. Hajnal
    • 2
  • R. Mohiaddin
    • 3
  1. 1.Department of ComputingImperial College LondonUK
  2. 2.Imaging Sciences Department, Hammersmith HospitalImperial College LondonUK
  3. 3.Cardiovascular MR Unit, Royal Brompton HospitalImperial College LondonUK

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