Ultrasound Localization Microscopy
We focus on advancing ultrasound localization microscopy (ULM) for transcranial applications. We address key challenges such as skull-induced aberrations, signal attenuation, and low signal-to-noise ratios. Our work integrates deep learning and adaptive signal processing to enhance microbubble detection, compensate for acoustic distortions, and enable real-time vascular reconstruction. Through these innovations, we aim to achieve high-fidelity vascular mapping and functional imaging to support precise diagnosis and therapeutic monitoring of brain diseases.