Upcoming Events

The transformative potential of data and image analysis for eye care Apr 23, 2018 - Apr 24, 2018 — The Royal Society, Carlton House Terrace, London
Scottish Dementia Research Consortium Annual Conference 2018 Apr 23, 2018 10:00 AM - 04:00 PM — Radisson Blu, 301 Argyle St, Glasgow
British Cardiovascular Imaging 2018 May 02, 2018 - May 04, 2018 — John McIntyre Conference Centre, Edinburgh
2nd SINAPSE Psychology meeting May 08, 2018 10:30 AM - 04:00 PM — Yudowitz Seminar Room, Wolfson Medical Building, University of Glasgow
2nd PET is Wonderful International Meeting May 14, 2018 02:00 PM - 05:00 PM — Wellcome Auditorium/Fyfe Rooms, Queen’s Medical Research Institute, University of Edinburgh

People




Miss Qiyue Zhao


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Mr Kanheng Zhou

Optical Coherence Tomography, Optical Coherence Elastography, Shear wave elastography, Surface acoustic wave elastography, High intensity focused ultrasound

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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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