Upcoming Events

ERASMUS Course on MRI: Basic MRI Physics Sep 25, 2017 - Sep 29, 2017 — Ninewells Hospital Medical School, Dundee
7th SINAPSE-SANON Meeting Sep 28, 2017 09:30 AM - 04:00 PM — Wellcome Rooms, Royal Society of Edinburgh, 22-26 George Street, Edinburgh
ECCOMAS VipIMAGE 2017 Oct 18, 2017 - Oct 20, 2017 — Porto, Portugal
ESMRMB 2017 Congress Oct 19, 2017 - Oct 21, 2017 — Fira de Barcelona, Barcelona, Spain
NRS Mental Health Network Annual Scientific Meeting Oct 25, 2017 09:00 AM - 05:00 PM — Teaching & Learning Centre, Queen Elizabeth University Hospital Glasgow

People




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 wael ageeli


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Miss wajiha bano


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gordon buchan


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Mr hamish richardson


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