Detecting Prostate Cancer by Super-resolution Ultrasound Imaging

In this talk we will discuss a method that can visualise blood motion in vessels by tracking microbubbles in contrast-enhanced ultrasound. We demonstrate that it can deduce structure and dynamical information of blood flow at microscopic scales when applied to clinical prostate ultrasound. We further discuss how the information can be extracted and best presented for developing a machine leaning classifier for detecting prostate cancer.