Ultrasound Localization Microscopy

Ultrasound Localization Microscopy (ULM) is a high-resolution imaging technique that surpasses the diffraction limit of ultrasound by precisely locating individual microbubbles in a blood vessel. Current research focuses on improving ULM's speed and resolution through advanced signal processing, particularly employing deep learning architectures like convolutional neural networks (CNNs) and transformers, and by directly processing raw radio-frequency (RF) data to bypass limitations of traditional beamforming methods. These advancements aim to enable faster, higher-resolution imaging of microvasculature for improved diagnostic capabilities in various medical applications.