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

Andrew Dowsey*, Jennifer Keegan, Mirna Lerotic, Simon Thom, David Firmin, Guang Zhong Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)


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.
Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention – MICCAI 2006
Subtitle of host publication9th International Conference, Copenhagen, Denmark, October 1-6, 2006. Proceedings, Part II
EditorsRasmus Larsen, Mads Nielsen, Jon Sporring
Number of pages8
ISBN (Electronic)9783540447283
ISBN (Print)9783540447276
Publication statusPublished - 2006

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
ISSN (Print)0302-9743

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