Upcoming Events

PET is Wonderful Annual Meeting 2019 Oct 29, 2019 09:00 AM - 05:00 PM — Royal Society of Edinburgh, 22-26 George Street, Edinburgh
NRS Mental Health Network Annual Scientific Meeting 2019 Oct 29, 2019 09:00 AM - 04:30 PM — Technology Innovation Centre, 99 George Street, Glasgow
Scottish Radiological Society Annual General Meeting 2019 Nov 01, 2019 12:00 AM — Principal Grand Central Hotel, Glasgow
Scottish Ophthalmic Imaging Society meeting Feb 14, 2020 09:30 AM - 05:00 PM — Royal Society of Edinburgh, 22-26 George Street, Edinburgh
Medical Imaging Convention 2020 Mar 17, 2020 10:00 PM - 04:00 PM — National Exhibition Centre, Birmingham, England

PhD studentship at Edinburgh: Convolutional neural networks to correct motion in dynamic MR imaging

Convolutional neural networks to correct motion in dynamic MR imaging

This project aims to achieve state-of-the-art high precision, fast and accurate motion correction for dynamic contrast-enhanced (DCE) MR imaging by developing solutions based on convolutional neural networks. Clinical applications of DCE MR include imaging the uterus, liver or prostate gland. For the uterus, a major source of motion is the bladder, which can double in volume during scanning – lifting and rotating the uterus. The uterus is, therefore, a good model case to develop a broader motion correction method. There have been no dynamic uterine studies to date that explicitly corrected for bladder motion.

For details of this project delivered by the University of Edinburgh [Supervisors: Dr Lucy Kershaw and Dr Scott Semple] and Canon Medical Research Europe Ltd [Company supervisor: Dr Keith Goatman], go to https://www.findaphd.com/phds/project/convolutional-neural-networks-to-correct-motion-in-dynamic-mr-imaging/?p107848

The deadline for application is 22 August 2019