A fast and highly automated method for calculating two-dimensional myocardial motion using phase contrast MRI closely followed tag-lines and showed good potential for clinical practice.
Does a fast and highly automated method using phase contrast MRI accurately calculate two-dimensional myocardial motion and deformation compared to saturation grid-tagging and manual delineation?
A newly developed fast and highly automated method for myocardial motion analysis using phase contrast MRI shows good potential for clinical practice due to its speed and limited user interaction.
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.
Bergvall et al. (Mon,) reported a other. Fast and highly automated method for calculating two-dimensional myocardial motion using phase contrast MRI vs. Saturation grid-tagging and manual delineation was evaluated on Validation of motion tracking and image segmentation. A fast and highly automated method for calculating two-dimensional myocardial motion using phase contrast MRI closely followed tag-lines and showed good potential for clinical practice.
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