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Motion-Compensated MR Valve Imaging with COMB Tag Tracking and Super-Resolution Enhancement

  • Andrew W. Dowsey
  • Jennifer Keegan
  • Mirna Lerotic
  • Simon Thom
  • David Firmin
  • Guang-Zhong Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4191)

Abstract

MR imaging of the heart valve leaflets is a challenging problem due to their large movements throughout the cardiac cycle. This paper presents a motion-compensated imaging approach with COMB tagging for valve imaging. It involves an automatic method for tracking the full 3D motion of the valve plane so as to provide a motion-tracked acquisition scheme. Super-resolution enhancement is then applied to the slice-select direction so that the partial volume effect is minimised. In vivo results have shown that in terms of slice positioning, the method has equivalent accuracy to that of a manual approach whilst being quicker and more consistent. The use of multiple parallel COMB tags will permit adaptive imaging that follows tissue motion. This will have significant implications for quantification of myocardial perfusion and tracking anatomy, functions that are traditionally difficult in MRI.

Keywords

Aortic Valve Cardiac Cycle Valve Leaflet Manual Tracking Valve Plane 
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

  • Andrew W. Dowsey
    • 1
  • Jennifer Keegan
    • 2
  • Mirna Lerotic
    • 1
  • Simon Thom
    • 3
  • David Firmin
    • 2
  • Guang-Zhong Yang
    • 1
  1. 1.Royal Society / Wolfson Foundation Medical Image Computing Laboratory, Department of ComputingImperial College LondonUK
  2. 2.Cardiovascular Magnetic Resonance Unit, National Heart, Lung InstituteImperial College London, Royal Brompton, Harefield NHS TrustUK
  3. 3.International Centre for Circulatory Health, National Heart, Lung InstituteImperial College London, St. Mary’s NHS TrustUK

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