Motion-compensated MR valve imaging with COMB tag tracking and super-resolution enhancement: Special Issue on the Ninth International Conference on Medical Image Computing and Computer-Assisted Interventions - MICCAI 2006

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

*Corresponding author for this work

Research output: Contribution to journalSpecial issue (Academic Journal)peer-review

15 Citations (Scopus)

Abstract

Understanding the morphology and function of heart valves is important to the study of underlying causes of heart failure. Existing techniques such as those based on echocardiography are limited by the relatively low signal-to-noise ratio (SNR), attenuation artefacts, and restricted access. The alternative of cardiovascular MR imaging offers versatility and accuracy in 3D localisation, but is hampered by large movements of the valves throughout the cardiac cycle. This paper presents a motion-compensated adaptive imaging approach for MR valve imaging. To illustrate its clinical potential, 3D motion of the aortic valve plane is first captured through a single breath-hold COMB tag pre-scan and then tracked in real-time with an automatic method based on multi-resolution image registration. Motion-compensated coverage of the aortic valve is then acquired prospectively, thus allowing its clear 3D reconstruction and visualisation. To provide isotropic voxel coverage of the imaging volume, retrospective projection onto convex sets (POCS) super-resolution enhancement is applied to the slice-select direction. In vivo results demonstrate the effectiveness of the proposed motion-compensation and super-resolution schemes for depicting the structure of the valve leaflets throughout the cardiac cycle. The proposed method fundamentally changes the way MR imaging is performed by transforming it from a spatially to materially localised imaging method. This also has important implications for quantifying blood flow and myocardial perfusion, as well as tracking anatomy and function of the heart.
Original languageEnglish
Pages (from-to)478-491
Number of pages14
JournalMedical Image Analysis
Volume11
Issue number5
Early online date24 Jul 2007
DOIs
Publication statusPublished - Oct 2007

Keywords

  • Adaptive imaging
  • CMR
  • COMB tag tracking
  • MRI
  • POCS super-resolution
  • Prospective motion compensation

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