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A fast and highly automated approach to myocardial motion analysis using phase contrast magnetic resonance imaging
Author(s) -
Bergvall Erik,
Cain Peter,
Arheden Håkan,
Sparr Gunnar
Publication year - 2006
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.20565
Subject(s) - segmentation , magnetic resonance imaging , computer science , real time mri , artificial intelligence , computer vision , regularization (linguistics) , phase contrast microscopy , tracking (education) , motion analysis , contrast (vision) , match moving , nuclear magnetic resonance , motion (physics) , physics , radiology , optics , medicine , psychology , pedagogy
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. J. Magn. Reson. Imaging 2006. © 2006 Wiley‐Liss, Inc.