Influence of Image Discretization and Patch Size on Microbubble Localization Precision.

For ultrasound localization microscopy, the localization of microbubbles (MBs) is an essential part to obtain super-resolved maps of the vasculature. This paper analyzes the impact of image discretization and patch size on the precision of different MB localization methods to reconcile different observations from previous studies, provide an estimate of feasible localization precision, and derive guidelines for an optimal parameter selection. For this purpose, images of MBs were simulated with Gaussian point-spread functions (PSF) of varying width parameter σ at randomly generated subpixel positions, and Rician distributed noise was added.