PhD in Engineering: Improved motion-correction for MRI with markerless face-tracking
|Application deadline||21 December 2018|
|Start date||1 October 2018 or 1 January 2019|
|Level of study||Postgraduate research|
|Award type||PhD studentship|
|Number of studentships||1|
This project will involve developing methods to use this technology to maximise the image quality for different types of MR imaging and different motion regimes.
If a patient moves their head during an MRI scan of their brain, we expect the images that are obtained to be reduced in quality. Various methods have been proposed to try to track this motion, and correct the data to compensate for the motion before the final image is generated. Within the CUBRIC facility at Cardiff University we have recently installed a motion-tracking device from TracInnovations which uses structured light to track the subject’s head in 3 dimensions and in real-time.
Of particular interest is the ability to continue to obtain high-quality images in the case of large and continuous motion profiles as might be expected in some children or patients with movement disorders. It is expected that even with real-time updates of the scanner coordinate system in response to the movement, higher quality images should be obtainable if this is combined with retrospective approaches which compensate for the measured residual motion effects prior to reconstructing the final image. The project will explore these concepts to develop robust protocols for imaging in the presence of strong motion.
Lecturer in Medical Imaging
|Tuition fee support||Full UK/EU tuition fees|
|This studentship is open to Home or EU candidates. Overseas candidates may apply but must confirm that they are able pay the difference between home and overseas fees (approx. £14K pa) themselves.|
|Maintenance stipend||Doctoral stipend matching UK Research Council National Minimum|
|Residency||Open to all UK/EU students without further restrictions|
Candidates should hold or expect to gain a first class degree or a good 2:1 (or their equivalent) in Engineering, Physics or a related subject. Some programming experience is essential, with knowledge of MATLAB and C++ preferred.
Applicants whose first language is not English will be required to demonstrate proficiency in the English language (IELTS 6.5 or equivalent).
Consideration is automatic upon application for admission to the PhD in Engineering with a 1 October 2018 start date.
In the research proposal section of your application, please specify the project title and supervisors of this project and copy the project description in the text box provided. Please select 'No, I am not self-funding my research' when asked whether you are self-funding your research. Please quote 'DG-PSE-2018' when asked 'Please provide the name of the funding you are applying for'.
Please also include your CV, cover letter and two academic references as supporting documents with your application.
We reserve the right to close applications early should sufficient applications be received.