Cardiac Strain Imaging Artifact Detection and Suppression with Minimum Variance Beamforming and SVD Filtering

Minimum Variance beamforming and SVD filtering is applied to Myocardial Elastography acquisitions of a healthy human subject and a CAD patient diagnosed with LAD stenosis. A fiducial point-tracking method is applied to evaluate the impact of different signal processing methods on strain imaging. Based on this metric, SVD filtering is shown to significantly improve displacement estimation and strain images, whereas MV yielded minimal and inconsistent improvements, likely due to high levels of clutter noise.