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Background, Motivation and Objective Speckle tracking enables 2D blood velocity estimation. Since speckle quickly decorrelates due to high velocity gradients, high frame rate imaging is crucial for capturing high velocity blood flow. This however, hinders estimation of low velocities since interframe displacements drop below the data sampling resolution. To capture subsample motion, often 1D parabolic fitting of the peak of the cross-correlation function (CCF) is performed. We propose to capture the CCF peak in a standardized way, by beamforming according to the dimensions of the point-spread-function (PSF), followed by 2D cubic interpolation of the peak. This ensures an optimal match between the peak and the interpolation method and we expect this to increase the robustness and accuracy of speckle tracking for a larger range of velocities.