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  PhD studentship with UCL and Mauna Kea Technologies: Online Super-resolution for Fibre-bundle-based Video Acquisition Medical Devices


   Centre for Medical Image Computing

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  Dr T Vercauteren  Applications accepted all year round

About the Project

Fibre-bundle-based video acquisition medical devices rely on flexible bundles of fibre optics to transport illumination and images between the distal end of the fibre bundle and its proximal end where a detector captures the signal. Of particular interest for this project in collaboration with Mauna Kea Technologies is the implementation of such optical fibre bundles for probe-based Confocal Laser Endomicroscopy (pCLE). In all fiberscopes available to the clinicians, the number of fibre optics in the bundle is a major limiting factor for the image quality of fibre-bundle-based video acquisition medical devices.

Scientific PhD Objectives: The goal of this PhD is to develop an online method to improve the image quality and resolution of fibre-bundle-based video acquisition medical devices. For each image, we envision to rely on 1) real-time image registration to collect redundant information from previous frames and 2) machine learning to drive indication-specific interpolation / in-painting techniques. The machine learning part will require training data. Such training data will both be gathered from stable motion videos where high-resolution images can be generated with the previous time-consuming algorithm and will be generated in silico thanks to simulation and domain adaptation.

Please see attached further particulars for more information about this studentship.

Eligibility and to apply:
In order to be eligible, applicants will have achieved (or are predicted) a first class or upper second class honours undergraduate degree (or equivalent international qualifications or experience) in a related subject.

To apply please send your CV and a cover letter outlining your motivations for applying for this PhD and how your educational background, skills and experience fit the programme to: [Email Address Removed]

If you wish to discuss this opportunity, please contact Dr. Tom Vercauteren ([Email Address Removed] ) but please note applications need to be submitted using the above instructions.

The successful applicant to this project will join the UCL Centre for Doctoral Training in Medical Imaging programme, for more information please go to: http://www.ucl.ac.uk/imaging-cdt

For more information about the Translational Imaging Group:
http://cmictig.cs.ucl.ac.uk/




Funding Notes

The studentship compromises of fees and a tax-free stipend of £16,851 per annum. In order to qualify candidates must be UK/EU passport holders or qualify for UCL home fees status.