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The University of Southampton
EngineeringPostgraduate study

SES-79-167 PhD Studentship: A computationally-intensive imaging approach to microvascular dysfunction

The successful candidate will work with a group of highly motivated, first class research students in a dynamic multi-disciplinary environment based around the multi-million pound mVIS CT facility with imaging applications across many sectors (engineering, biomedical, environmental, archaeological).

 

Key to the development of cardio-metabolic disease are changes in the small blood vessels (the 'micro-vascular' network) that deliver nutrients to tissues such as muscle, heart and liver. Methods for analysing 3D micro-vascular structures are in their infancy, largely due to the difficulties in imaging, but also the lack of fast image analysis algorithms to segment, skeletonise and derive 3D statistics from the relevant images. Advances in micro-focus computed tomography (µ-CT) offers 3D quantification of vascular beds, in relatively large, opaque volumes, such as a rodent heart or kidney: exploiting this approach presents its own challenges however, as significant image processing is required to extract maximum value from the data. The recently established 'µ-VIS' CT imaging centre provides vital technical and collaborative opportunities to progress vascular analysis, via state-of-the-art scanners and computational hardware. Importantly µ-VIS activities integrate world-class expertise in computer vision, offering new opportunities for extended structural analyses to be carried out over larger sample numbers than contemplated to date, along with state-of-the-art multi-scale physical modelling of how microcirculation functions.

If you wish to discuss any details of the project informally, please contact Prof Ian Sinclair, Engineering Materials research group, Email: is1@soton.ac.uk

 

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