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  Dr Vassilis Sboros, Dr W Lu  No more applications being accepted  Competition Funded PhD Project (UK Students Only)

About the Project

A revolutionary ultrasound imaging approach will be developed using adaptive sensing methods, first applied in radar and astronomy, aiming to produce a diagnostic imaging tool that provides images from inside the human body with microscopic accuracy. It is well know that state-of-the-art ultrasound imaging suffers from significant image distortion due to the crude delay-and-sum beamforming by current technology. As a result the resolution is at best at millimetre scale, similar to all other imaging modalidies (MRI, CT, PET). The new technique will be based on adaptive array beamforming methodologies, and super-resolution spectral analysis that the Sboros group have pioneered over the last 15 years. Artificial intelligence methods will be deployed in addition to these and to optimise them. The aspiration is to create for the first time maps of speed of sound and attenuation, that will help eliminate image distortion. The study design includes initial development in simulation environment and validation in a laboratory setting. The final target is to generate a prototype tool for use in preclinical disease models. 

Collaborators: Prof Mengixng Tang (Imperial College London), Prof Georg Schmitz (Ruhr University, Bochum, Germany)

How to Apply

Apply Online

When applying through the Heriot-Watt on-line system please ensure you provide the following information:

(a) in ‘Study Option’

You will need to select ‘Edinburgh’ and ‘Postgraduate Research’. ‘Programme’ presents you with a drop-down menu. Choose Bio-engineering and Bio-sciences PhD for study option

(b) in ‘Research Project Information’

You will be provided with a free text box for details of your research project. Enter Title of the project for which you are applying and also enter the supervisor’s name.

This information will greatly assist us in tracking your application.

For questions about the application process, please contact [Email Address Removed]

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