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Spatio-temporal Alignment of 4D Cardiac MR Images

  • Dimitrios Perperidis
  • Anil Rao
  • Maria Lorenzo-Valdés
  • Raad Mohiaddin
  • Daniel Rueckert
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2674)

Abstract

A 4D registration method for the spatio-temporal alignment of cardiac MR image sequences has been developed. The registration algorithm has the ability not only to correct any spatial misalignment between the image sequences but also any temporal misalignment which maybe the result of differences in the cardiac cycle between subjects and differences in the temporal acquisition parameters. The algorithm uses a 4D transformation model which is separated into a spatial and a temporal component: the spatial component is a 3D affine transformation which corrects for any misalignment between the two image sequences. The temporal component uses an affine transformation which corrects the temporal misalignment caused by differences in the initial acquisition offset and length of the two cardiac cycles. The method was applied to seven cardiac MR image sequences from healthy volunteers. The registration was qualitatively evaluated by visual inspection and quantitatively by measuring the volume difference and overlap of anatomical regions between the sequences. The results indicated a significant improvement in the spatio-temporal alignment of the sequences.

Keywords

Cardiac Cycle Image Sequence Image Registration Cardiac Image Normalise Mutual Information 
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 2003

Authors and Affiliations

  • Dimitrios Perperidis
    • 1
  • Anil Rao
    • 1
  • Maria Lorenzo-Valdés
    • 1
  • Raad Mohiaddin
    • 2
  • Daniel Rueckert
    • 1
  1. 1.Visual Information Processing Group, Department of ComputingImperial College of Science, Technology and MedicineLondonUK
  2. 2.Royal Brompton and Harefield NHS TrustLondonUK

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