We have now released Stride, an open-source library for medical ultrasound modelling and tomography. Stride lets users easily prototype medical imaging algorithms with only a few lines of Python code that can run seamlessly on a Jupyter notebook, a multi-node CPU cluster or a GPU with production-grade performance. It provides end-to-end definition of the imaging…
Ultrasound has been well established as a front line clinical imaging tool for diagnosis and treatment monitoring in a wide range of diseases such as cardiovascular diseases and cancer. Recent advances in e.g. ultrasonic engineering, computing, and contrast agents have made it possible to image and quantify tissue structure and function with unprecedented sensitivity and resolution. Such techniques offer potentials to detect diseases and their responses to treatment at a much earlier stage and with greater accuracy at point of care.
Our group are working on the development of new imaging, signal processing and computing techniques which push the boundary in ultrasound spatial and temporal image resolution and information content, and their clinical applications in the diagnosis and treatment of cardiovascular diseases, cancer and neurological conditions.