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The University of Southampton
Interdisciplinary Research Excellence

Modelling biomedical ultrasound Event

6 October 2015
Building 13, Room 3017 Highfield Campus University of Southampton SO17 1BJ

Event details

Modelling the propagation of ultrasound waves in the human body has many applications, from training ultrasonographers to planning treatments using ultrasound therapy. In this talk, I will discuss the steps required in developing a numerical model, including forming equations that capture the physics of interest, applying appropriate numerical methods to solve these equations, developing computer codes for different computer architectures, and performing experimental validation. To create useful models, each of these steps and the corresponding constraints must be carefully considered. Using these steps as a blue-print, I will then discuss the development of k-Wave, a MATLAB toolbox for modelling ultrasound. Finally, I will illustrate several novel applications of ultrasound modelling in clinical and pre-clinical settings.

Speaker information

Dr Bradley Treeby,UCL,I am an EPSRC Early Career Fellow and lead the UCL Biomedical Ultrasound Group with Dr Ben Cox. My research sits at the interface between physical acoustics, biomedical ultrasound, numerical methods, and high performance computing. In particular, I am interested in developing fast and accurate models of how ultrasound waves travel through the human body. This involves studying many interesting acoustic phenomena from a physical perspective, and then devising novel ways in which these can be captured by a numerical model. Much of my work has been released as an open-source acoustics toolbox for MATLAB called k-Wave. These models have important applications in both ultrasound and photoacoustic imaging, and dosimetry and treatment planning for ultrasound therapy. I work with a interdisciplinary team, and currently collaborate with researchers from a range of backgrounds, including mathematics, physics, computer science, radiology, haematology, oncology, and neurology.

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