About the Project
Reference number: SB/PH/2020
Start date of studentship: 1 October 2020
Closing date of advert: 21 June 2020
Interview date: Week of the 22 June
Primary supervisor: Dr Sarah Bugby
Secondary supervisor: Dr Georgina Cosma
Radioguided surgery is used in the diagnosis of cancer over two million times annually and improving surgical techniques saves lives and reduces side effects.
Serac Imaging Systems Ltd. are developing a hybrid gamma-optical camera that can localise radioactive sources in 2D for nuclear medicine. This project will extend this system to also calculate source depth and evaluate activity within tissue, providing more information to surgeons during challenging procedures such as head and neck sentinel lymph node biopsy.
This project will involve Monte Carlo modelling to optimise gamma camera design, developing AI-based methods for image analysis, and combining multimodal imaging data.
This is an interdisciplinary project and the successful applicant will have the opportunity to;
• Contribute to the development of a new medical device to improve surgical outcomes
• Develop skills in machine vision, experimental techniques (including working with ionising radiation), and medical imaging
• Work closely with an industry partner and receive training in commercialisation and marketing of medical devices
• Collaborate with clinical and academic partners across the UK
Studying at Loughborough
Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career. Loughborough University is committed equality and diversity.
Find out more: http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/ https://www.lboro.ac.uk/services/hr/equality-diversity/
The Centre for Sensing and Imaging Science is an interdisciplinary research centre of the School of Science, Loughborough University, crossing the boundaries of Computer Science, Mathematics, Physics and Chemistry.
The ideal student will be a practically minded, a fast learner, self-motivated, and should be comfortable working with deadlines and as part of a team. The student will be able to demonstrate programming experience and the ability to analyse, interpret and communicate results from experiments.
This is a multidisciplinary project, and we are keen to hear from applicants with experience relating to the following topics, but we don’t expect you to be an expert in all of them!
Particular knowledge of medical physics, radiation detection, image analysis, feature engineering, and machine learning or experience in experimental techniques or the design of imaging systems would be useful but are not essential.
Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Physics, Engineering, Computer Science, or a related subject. A relevant Master’s degree will be an advantage.
Name: Dr Sarah Bugby
Email address: [Email Address Removed]
Telephone number: +44 (0)1509 222 809
How to apply
All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Under programme name, select Physics.
Please quote reference number: SB/PH/2020
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