A fast and highly automated approach to myocardial motion analysis using phase contrast magnetic resonance imaging.

Erik Bergvall, Peter Cain, Håkan Arheden, Gunnar Sparr

Research output: Contribution to journalArticlepeer-review

17 Citations (SciVal)

Abstract

Purpose: To develop a fast and highly automated method for calculating two-dimensional myocardial motion and deformation using velocity encoded magnetic resonance imaging. Materials and Methods: Two-dimensional phase contrast magnetic resonance imaging was used to acquire time resolved velocity maps of the myocardium. Cardiac motion was calculated by an iterative integration-regularization scheme of low computational cost. Image segmentation was performed using active appearance models. Results: Validation of motion tracking was performed in N = 47 subjects using saturation grid-tagging and closely followed "tag-lines." Image segmentation was validated vs. manual delineation. Conclusion: The speed and limited user interaction gives the method good potential for use in clinical practice.
Original languageEnglish
Pages (from-to)652-661
JournalJournal of Magnetic Resonance Imaging
Volume23
Issue number5
DOIs
Publication statusPublished - 2006

Subject classification (UKÄ)

  • Radiology, Nuclear Medicine and Medical Imaging

Keywords

  • analysis
  • kinematics
  • magnetic resonance imaging
  • cardiovascular system
  • velocity mapping
  • image

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