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.
Bergvall
Erik
E
Centre for Mathematical Sciences, Lund Institute of Technology, Lund, Sweden. erik.bergvall@med.lu.se
Cain
Peter
P
Arheden
Håkan
H
Sparr
Gunnar
G
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