Deep Machine Learning for Automated Lesion Detection in PET-CT
This research project is in competition for funding with one or more projects available across the EPSRC Doctoral Training Partnership (DTP). Usually the projects which receive the best applicants will be awarded the funding. Find out more information about the DTP and how to apply.
Start date: 1 October 2019
This project will develop automated detection of lesions in Positron Emission Tomography (PET) using deep machine learning.
This research builds on a series of successful research carried out at the host institution including the development of an award-winning automated PET segmentation algorithm (Berthon et al, IPEM Manufacturers' Award for Innovation 2015) and the implementation of an award-winning approach to distributed learning (Deist et al ESTRO-Varian research award 2019).
A large database of pre-contoured scans from retrospective datasets acquired at our centre will be used for training and validation. External validation of the developed technique will also be possible as we have a large network of external organisations collaborating with us in this field using a technique known as distributed machine learning.
In addition, our team at the School of Engineering is working with Intel Corp and Velindre Cancer Centre to deliver AI Solutions for Personalised Radiotherapy (Welsh Government “Efficiency Through Technology Programme”) and this proposed research will be linked to this exciting ongoing research activity.
Furthermore, PETIC makes use of highly specialized equipment to deliver a world class diagnostic PET service alongside academic excellence to support academia and the life science industry in Wales and beyond. We have existing collaborations with both commercial and industrial partners including the National Physics Laboratory and is currently the only facility in the UK and one of a few word-wide with the capability to produce novel radio-isotopes such as 89Zirconium. The department also regularly participates in both local and multi-centre trials and has a vast array of ongoing clinical research projects with a total secured funding for joint projects in excess of £3 million.
Project aims and methods
You will be part of a multi-disciplinary team inclusive of consultant radiologists, radiographers, chemists, medical physicists and a group of 20 PhD students working in medical imaging, sensors and therapy.
You will also be joining an internationally leading research group on a project that will push the research area forward. Our research output is regularly presented at peer-reviewed international conference and published in high impact factor academic journals.