Primary Supervisor: Professor Marco Endrizzi (UCL)
Secondary Supervisor: Wenjuan Sun (NPL), David Bate (Nikon X-Tek Systems LTD)
A 4-year funded PhD studentship is available in a partnership between the UCL Department of Medical Physics and Biomedical Engineering, the Dimensional Metrology Group at the National Physical Laboratory NPL and Nikon X-Tek System Ltd.
The successful candidate will join the UCL CDT in Intelligent, Integrated Imaging in Healthcare (i4health) cohort and benefit from the activities and events organised by the centre. They will also have access to AXIm laboratory facilities, including customizable optical benches and commercial X-ray CT (XCT) scanners. They will also be supported and trained by NPL experts, with access to the XCT facility and metrology equipment. They will also gain access to professional development opportunities, training and support offered through the Postgraduate Institute for Measurement Science (PGI).
X-rays are unique for investigating bulky and opaque samples, as their broad use in medicine, security and non-destructive inspection demonstrates. X-ray phase contrast imaging (XPCI) complements the capabilities of conventional radiography, especially for low-absorbing samples. Biological soft matter does not absorb X-rays with high probability, but the capability of detecting phase distortions in the X-ray wavefront enables visualising details that would be otherwise X-ray-invisible. The Advanced X-ray Imaging Group (AXIm) has pioneered the development of compact XPCI systems, and a partnership with Nikon has built a first prototype, field deployed for intraoperative imaging of breast tissue. The image quality was vastly superior to the current standards, however the interpretation of images remained largely qualitative and highly subject-dependent. Calibration and uncertainty evaluation are fundamental elements of instrument traceability and NPL is leading the development of X-ray CT for dimensional metrology. The creation of a metrology framework for XPCI micro-CT applied in the medical field would be a step change in the efforts to transform three-dimensional images into absolute measurements, where the instrument's bias, precision, and accuracy are known and characterised.
The successful candidate will develop new techniques, with unique sensitivity for soft-tissues and other low-Z, with a quantitative and traceable methodology. These new approaches will provide a transformative pathway for XCT across applications, encompassing three-dimensional imaging of tissue, design, manufacturing and pre-clinical small-animal investigations.
Candidates must have:
- A degree a subject area such as Physics, Medical Physics, Electrical Engineering, Engineering Physics, Biomedical Engineering (concentration in imaging or medical devices), or a related field.
- Interest in developing hands-on experimental skills and working in a multidisciplinary laboratory is essential.
- A degree of familiarity with image processing and computer programming is desirable.
- This studentship is strictly for those who pay home fees. We cannot consider overseas students.
How to Apply:
Please complete the following steps to apply.
- Send an expression of interest and current CV to Dr Marco Endrizzi and [Email Address Removed]. Please use the subject title: Project Code 23008
- Make a formal application to via the UCL application portal https://www.ucl.ac.uk/prospective-students/graduate/apply . Select the programme code MPhil Medical Imaging RRDMEISING01 and enter Quantitative X-ray phase-contrast imaging 23008 under ‘Name of Award 1’.