MUST uses ultrasound waves for imaging and has tremendous potential. It can be used for soft tissue medical imaging, for example breast imaging. Compared to conventional ultrasound imaging, Ultrasound Tomography (UST) can produce quantitative images of the acoustic properties of biological tissues over a large field of view and with a high, isotropic spatial resolution.
However, scientific challenges in mathematical modeling, image reconstruction and ultrasound sensing technologies hampered its development for a long time. Advances in numerical wave propagation techniques, computational imaging methods, GPU computing, and machine learning combined with progress in ultrasound field sensing, data acquisition, transfer and processing, lead to multiple recent break-through demonstrations with prototype scanning systems.
Leading researchers
Now, UST is an emerging medical imaging modality quickly approaching its clinical utility. Multiple research groups around the globe are working towards that goal by developing mathematical theory, computational image reconstruction, processing and analysis methods, designing new prototype scanning systems or examining UST for different possible clinical applications. The MUST workshop is the central event that brings all of them together. Besides exchanging their individual progress and ideas, MUST creates an interactive platform where the leading UST researchers discuss and define the future scientific challenges to work on.
Organizers and speakers
Together with Hans-Martin Schwab from the Eindhoven University of Technology and Chris de Korte from the Radboud University Medical Center, Tristan van Leeuwen and Felix Lucka from the Computational Imaging Group at CWI organize the 4th edition of the MUST workshop at CWI from 10 to 12 June 2024. The plenary speakers will be Yonina Eldar (Weizmann Institute of Science), Ben Cox (University College London), Christian Böhm (ETH Zürich) and Richard Lopata (TU Eindhoven).
Abstracts
The call for submissions (oral or poster presentations) is now open. Abstracts can be submitted until 1 March 2024 via the website, which also contains further information about MUST.
