Smart Medical Imaging

EPSRC Centre for Doctoral Training

Industry Cooperation

Industrial Projects

There are a number of potential PhD projects available for 2019/2020 cohort that are linked to particular industrial partners. Choosing a PhD project that has an industry partner offers many benefits to both the student and the industry partner. As a student you will be provided with an additional industrial co-supervisor as a contact point. You will spend around 20% of your time at industrial R&D departments. This model for the CDT provides the PhD student with access to training, facilities and expertise not available in an academic setting. In addition, industrial partners provide student placements and industry workshops to demonstrate to students the potential application of their innovation and to highlight career pathways.

Apply for an industry project within the CDT

Current PhD projects with an industry partner that are available to apply for:

2019_007 - Pushing the Limits of Spatial Resolution for Whole-heart Cardiac MR Angiography: Let’s get ready for Prime Time

This is an industrial PhD project (Siemens) which encompasses topics from both the Emerging Imaging and AI in Medical Imaging themes of this CDT, and thus will permit the student to work at the interface of both sub-disciplines.

2019_010 - Automated 4D Function of the Heart

This is an industrial PhD project (Siemens) that will leverage recent advances in machine learning and artificial intelligence to automatically analyse 3D+t data, providing information on shape and motion of all four chambers of the heart. 

2019_019 - Synergistic joint variational neural networks for PET-MR image reconstruction with generative modelling priors

This is an industrial PhD project (Siemens) that will redesign PET and MR regularised image reconstruction algorithms as synergistically-connected variational neural networks (VNNs), integrating deep learning with synergistic reconstruction methods for the first time. The overall aim is to deliver enhanced, synergistic image quality benefits for both PET and MR reconstruction, and furthermore these benefits have potential to make PET-MR imaging faster, cheaper and even safer (due to reduced radiation doses).

2019_066 - Monitoring blood glucose levels with imaging photoplethysmography

This is an industrial PhD project (My-Vitality Sàrl) that will carry out in vivo and computational analysis to investigate the feasibility of using photoplethysmography (PPG) to monitor glucose levels in the blood stream.

In addition to those we have a project jointly funded between KCL and Singapore, via the A*STAR Research Attachment Programme (ARAP). Under this programme, the PhD student  will spend one to two years at the A*STAR Research Institute in Singapore.

2019_065 - ‘Pro-Radiotracers Unmasked on the Far Side of the Blood-Brain-Barrier’: A New Concept in Brain Molecular Imaging Using a Pro-drug Approach