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Abstract #0767

Improved phase unwrapping algorithm for automatic cine DENSE strain analysis using phase predictions and region growing

Daniel Auger1, Xiaoying Cai1, Changyu Sun1, and Frederick Epstein1,2

1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Radiology, University of Virginia, Charlottesville, VA, United States

Displacement encoding with stimulated echoes (DENSE) measures myocardial displacements using the signal phase. Phase wrapping generally occurs during systolic phases, thus spatiotemporal phase unwrapping algorithms are required to compute motion trajectories and strain. Current DENSE analysis methods are aided by user-defined myocardial contours. A fully automatic DENSE analysis method is proposed where phase predictions using multiple pathways and region growing are used to simultaneously unwrap and segment the myocardium. Compared to a prior automatic method, this method selects fewer extramyocardial pixels, reducing the computation time, and has a greater phase unwrapping success rate.

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