Dr. Pengfei Song has developed methods of real-time SR-UMI. Current SR-UMI requires hours of data post-processing, making it impractical for clinical, diagnostic applications. Implementing advances in deep learning and parallel computing, Dr. Song's team was able to realize real-time microbubble signal extraction, separation, localization, tracking, and quantitative analysis and display. This technology has a wide range of clinical applications including but not limited to the diagnosis and characterization of many disorders including cancer, cardiovascular disease, and neurological diseases.
