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Neuroimaging in diseases that cause dementia Aug 22, 2019 - Aug 23, 2019 — King’s College Conference Centre, University of Aberdeen
2019 UK PET Chemistry Meeting Sep 09, 2019 09:00 AM - 05:45 PM — Michael Smith Building, University of Manchester
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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