Please, join us in congratulating Jipeng Yan and Biao Huang, who have received the Winner Award in the Localisation and Tracking Category and the joint Runner-up Award in the In Vivo Category!
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…
Jipeng Yan, Tao Zhang, Jacob Broughton-Venner, Pintong Huang, and Meng-Xing Tang “Super-Resolution Ultrasound Through Sparsity-Based Deconvolution and Multi-Feature Tracking“ IEEE Transactions on Medical Imaging (2022) DOI: https://doi.org/10.1109/TMI.2022.3152396
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…
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…
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…
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…
Kai Riemer, Ethan M. Rowland, Chee Hau Leow, Peter D Weinberg, Meng-Xing Tang “Determining Haemodynamic Wall Shear Stress in the Rabbit Aorta In Vivo Using Contrast-Enhanced Ultrasound Image Velocimetry“ Annals of Biomedical Engineering (2020) DOI: https://doi.org/10.1007/s10439-020-02484-2
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/
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
