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Feature extraction from super-resolution ultrasound prostate cancer maps

   Institute of Biological Chemistry, Biophysics and Bioengineering

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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

Super-resolution ultrasound image analysis generates microscopic detail maps of entire organs by tracking individual microbubbles that are available in the blood stream. This is achieved by deploying sophisticated image analysis using statistical models. The resulting vascular architecture maps provide unprecedented detail that is unique to each patient, similar to a fingerprint. Additional information on blood flow dynamics creates a wealth of information that is difficult to process by trained human observers. State-of-the-art pattern recognitions will be deployed as well as artificial intelligence in order to recognise image feature that are specific to the detection of tumour patterns. These computationally intensive methods will be achieved using biological models and existing patient data. The output of this project will provide a decision making tool for clinicians, as it is recognised that operator subjectivity remains one of the biggest hurdles in standardising medical imaging diagnosis. 

Collaborators: Prof Hashim Ahmed, Dr Taimur Shah (Imperial College London hospitals)

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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