PhD Studentship on image reconstruction algorithms for improved quantification in PET/CT



Ref:1366406  

Duration of Studentship  3 years
Stipend  £17,226 per annum

Vacancy Information

A 3 year EPSRC Industrial CASE PhD studentship co-sponsored by GE Healthcare is available in the UCL Institute of Nuclear Medicine under the supervision of Dr Kris Thielemans.

The funding covers an annual stipend of £17,226 and tuition fees at the rate for UK nationals and EEA migrant workers. The student will be registered for a PhD in the Division of Medicine at University College London.

Studentship Description 

PET/CT scanners combine Positron Emission Tomography with X-rays to provide functional and anatomic images of the patient. In current clinical practice in oncology, PET data are reconstructed with specific algorithms to provide good visual appearance for lesion detection. However, there is increased interested in accurate quantification of the PET tracer concentration in lesions and/or organs, for example for therapy follow-up. 

This studentship will attempt to improve PET image quantification by investigating the use of “regularised” image reconstruction algorithms which allow incorporation of prior information, such as information from anatomical data from CT or the correlation between different respiratory states and/or time frames. The project will involve training in state of the art image reconstruction techniques and optimisation theory. 

UCL INM has considerable expertise in image reconstruction and access to a variety of PET/CT and SPECT scanners. Moreover, we have excellent collaborations with the UCL Centre for Inverse Problems and the UCL Centre for Medical Imaging. 

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Person Specification 

The candidate is expected to have at least an upper second class degree, a Masters degree or equivalent qualifications (see http://www.ucl.ac.uk/prospective-students/graduate-study/application-admission/general-entrance-requirement) in a relevant subject area. A strong mathematics background is essential. Good working knowledge of C++ and/or MATLAB is preferable. The candidate must be committed to deliver excellence in research, and will also be expected to provide regular, biannual reports on research progress. 

Eligibility 

Further eligibility information can be found at http://www.epsrc.ac.uk/skills/students/help/Pages/eligibility.aspx 

To make an application please send your current CV along with a covering letter stating why you wish to undertake a PhD at UCL, to  Dr Kris Thielemans ([email protected])

Contact name
Kris Thielemans
Contact details 
[email protected]

UCL Taking Action for Equality

Closing Date 10 Nov 2013

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