Latest Work and Lab News

  • Featured Publications, News

    IEEE IUS CONFERENCE 2022

    For IEEE International Ultrasonics Symposium 2022, which will be held in Venice, you will be able to find the ULIS lab members and collaborators during the poster and oral sessions. Orals Volumetric Image Projection Super-Resolution (VIP-SR) Ultrasound with a 1D Array Probe – Experimental DemonstrationBingxue Wang, Kai Riemer, Matthieu Toulemonde, Jacob Broughton-Venner, Xiaowei Zhou, Meng-Xing…

  • Featured Publications, News

    PROF. MENGXING TANG’S INAUGURAL LECTURE

    Check out Professor Mengxing Tang’s inaugural lecture on super-resolution ultrasound! Medical imaging plays a crucial role clinically in the diagnosis and management of patients, with applications throughout the patient pathway from detection, diagnosis, treatment planning to guiding and monitoring treatment. However significant limitations still exist to obtaining sufficient relevant details of tissue structure and function…

  • Featured Publications, News

    IEEE IUS 2022 Ultrasound Localisation and TRAcking for Super-Resolution (ULTRA-SR) Challenges

    Super-resolution (SR) ultrasound imaging, particularly through localisation and tracking of microbubble contrast agents (also known as ultrasound localisation microscopy or ULM), is a new exciting area of research in biomedical ultrasound with potential impact in a wide range of biomedical applications. In recent years many different SR methodologies and algorithms have been proposed by different…

  • Featured Publications, News

    Stride: an open-source library for ultrasound tomography

    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…

  • Featured Publications, News

    Clinical quantitative cardiac imaging for the assessment of myocardial ischaemia

    Marc Dewey, Maria Siebes, Marc Kachelrieß, Klaus F. Kofoed, Pál Maurovich-Horvat, Konstantin Nikolaou, Wenjia Bai, Andreas Kofler, Robert Manka, Sebastian Kozerke, Amedeo Chiribiri, Tobias Schaeffter, Florian Michallek, Frank Bengel, Stephan Nekolla, Paul Knaapen, Mark Lubberink, Roxy Senior, Meng-Xing Tang, Jan J. Piek, Tim van de Hoef, Johannes Martens, Laura Schreiber & on behalf of the…

  • Featured Publications, News

    Full-waveform inversion imaging of the human brain

    Lluís Guasch, Oscar Calderón Agudo, Meng-Xing Tang, Parashkev Nachev & Michael Warner, “Full-waveform inversion imaging of the human brain” npj Digital Medicine 3, 28 (2020) DOI: https://doi.org/10.1038/s41746-020-0240-8 News: https://www.imperial.ac.uk/news/195954/seismic-imaging-technology-could-deliver-detailed/

  • Featured Publications

    In vivo 3D Super-Resolution of Rabbit Lymph

    Jiaqi Zhu, Ethan M. Rowland, Sevan Harput, Kai Riemer, Chee Hau Leow, Brett Clark, Karina Cox, Adrian Lim, Kirsten Christensen-Jeffries, Ge Zhang, Jemma Brown, Christopher Dunsby, Robert J. Eckersley, Peter D Weinberg, Meng-Xing Tang, “3D Super-Resolution US Imaging of Rabbit Lymph Node Vasculature in Vivo by Using Microbubbles“ Radiology DOI: 10.1148/radiol.2019182593

Our Group

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.