Fully automatic, retrospective enhancement of real-time acquired cardiac cine MR images using image-based navigators and respiratory motion-corrected averaging

Peter Kellman, Christophe Chefd'hotel, Christine H. Lorenz, Christine Mancini, Andrew E. Arai, Elliot R. McVeigh

Research output: Contribution to journalArticlepeer-review

Abstract

Real-time imaging may be clinically important in patients with congestive heart failure, arrhythmias, or in pediatric cases. However, real-time imaging typically has compromised spatial and temporal resolution compared with gated, segmented studies. To combine the best features of both types of imaging, a new method is proposed that uses parallel imaging to improve temporal resolution of real-time acquired images at the expense of signal-to-noise ratio (SNR), but then produces an SNR-enhanced cine by means of respiratory motion-corrected averaging of images acquired in real-time over multiple heart-beats while free-breathing. The retrospective processing based on image-based navigators and nonrigid image registration is fully automated. The proposed method was compared with conventional cine images in 21 subjects. The resultant image quality for the proposed method (3.9 ± 0.44) was comparable to the conventional cine (4.2 ± 0.99) on a 5-point scale (P = not significant [n.s.]). The conventional method exhibited degraded image quality in cases of arrhythmias whereas the proposed method had uniformly good quality. Motion-corrected averaging of real-time acquired cardiac images provides a means of attaining high-quality cine images with many of the benefits of real-time imaging, such as free-breathing acquisition and tolerance to arrhythmias.

Original languageEnglish (US)
Pages (from-to)771-778
Number of pages8
JournalMagnetic Resonance in Medicine
Volume59
Issue number4
DOIs
StatePublished - Apr 2008

Keywords

  • Heart
  • Motion correction
  • MRI
  • Myocardial function
  • Navigator
  • Nonrigid
  • Parallel MRI
  • Real-time
  • Regional wall motion
  • SENSE

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

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