A fast and highly automated approach to myocardial motion analysis using phase contrast magnetic resonance imaging.
OBJECTIVE
To develop a fast and highly automated method for calculating two-dimensional myocardial motion and deformation using velocity encoded magnetic resonance imaging.


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.


CONCLUSIONS
The speed and limited user interaction gives the method good potential for use in clinical practice.
Centre for Mathematical Sciences, Lund Institute of Technology, Lund, Sweden. erik.bergvall@med.lu.se
Erik
E
Bergvall
Peter
P
Cain
Håkan
H
Arheden
Gunnar
G
Sparr
D000465:Algorithms; D005240:Feasibility Studies; D005583:Fourier Analysis; D006321:Heart / Q000502:physiology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009038:Motion; D009200:Myocardial Contraction / Q000502:physiology*; D015203:Reproducibility of Results; D013997:Time Factors