Shared-Sparse Aperture for Matrix Array Super-Resolution 3D imaging

Matrix array 3D ultrasound imaging has been facing the dilemma of insufficient acquisition channels. In this paper, we proposed a unique strategy, termed shared-sparse aperture, to improve acquisition efficiency by combining multi-angle random sparse aperture compounding with view sharing. Then we introduced the super-resolution results as constraint of the share window during acquisition process to maximize the valid microbubble localization events and improve the structure continuity of microbubble localization-based super-resolution ultrasound imaging.