Upcoming Events

PET is Wonderful & NHS Lothian International Meeting Feb 19, 2018 02:00 PM - 05:00 PM — Wellcome Auditorium/Fyfe Rooms, Queen’s Medical Research Institute, University of Edinburgh
'Let's Talk About Health' free public lecture Feb 21, 2018 05:30 PM - 06:30 PM — Wellcome Auditorium, Queen’s Medical Research Institute, University of Edinburgh
Edinburgh CVS-Neuroscience network launch Feb 22, 2018 01:00 PM - 05:00 PM — Wellcome Auditorium, Queen’s Medical Research Institute, University of Edinburgh
Intelligent Imaging KTN event Mar 15, 2018 09:30 AM - 05:00 PM — The Lighthouse, 56 Mitchell Street, Glasgow
Scottish Dementia Research Consortium Annual Conference 2018 Apr 23, 2018 10:00 AM - 04:00 PM — Radisson Blu, 301 Argyle St, Glasgow

People




Mr Xiaowei Zhou


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Mr Fan Zhu

Description of PhD:

 

Deconvolution is used in perfusion imaging to obtain the impulse residue function (IRF) that is then used to create parametric maps of relevant haemodynamic quantities such as CBF, CBV and MTT. A popular method to achieve this is Singular Value Decomposition (SVD), but it has been shown that for MRI Gaussian Process Deconvolution (GPD) is comparable to SVD when determining the maximum of the IRF, and superior estimating the full IRF. Furthermore, it clearly outperforms SVD when the signal-to-noise ratio improves.   Gaussian Process regression arises from a Bayesian approach to the regression problem, and as in the case of other kernel-based methods the scalability with data size is very poor. This constitutes the main drawback of this technique to compute deconvolution when compared with SVD.  The currently running Wyeth-TMRC multicenter project on acute stroke brings the opportunity to test this technique with data from several SINAPSE centres and different modalities. This PhD project will benefit from the expertise in these centres and would seek to collaborate with them through the centres’ contacts: M.J. McLeod (Aberdeen), J. Wardlaw (Edinburgh) and K. Muir (Glasgow).  The project will research the possibilities that distributed (and parallel) computing brings to make this method usable in practice. As a by product, the project will produce a data processing framework prototype reusable for other types of image processing.

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Mr John Zurowski


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Mr wael ageeli


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Miss wajiha bano


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gordon buchan


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Mr andrew mcdevitt


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Mr hamish richardson


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