Upcoming Events

Society for Magnetic Resonance Angiography 30th Annual International Conference Aug 29, 2018 - Aug 31, 2018 — University of Glasgow
Future of Minimally Invasive Endoscopy Workshop Sep 05, 2018 09:30 AM - 04:30 PM — thestudio, 67 Hope Street, Glasgow
British Association for Cognitive Neuroscience Meeting 2018 Sep 06, 2018 - Sep 07, 2018 — University of Glasgow
Predictive Intelligence in Medicine MICCAI 2018 Workshop Sep 16, 2018 12:00 AM — Granada, Spain
Scottish Molecular Imaging Meeting 2018 Sep 19, 2018 09:00 AM - 07:00 PM — Beatson Institute for Cancer Research (BICR), Glasgow

People




Elizabeth York


Full profile…


Ms Laura Young


Full profile…


Mr Vasileios Zampetoulas


Full profile…


Professor Matteo Zanda

Research interests in bioorganic/medicinal chemistry with Imaging Technologies, particularly Positron Emission Tomography (PET) with applications in brain imaging and oncology.

Full profile…


Ms Dongyu Zhang


Full profile…


Dr Jianguo Zhang


Full profile…


Miss Qiyue Zhao


Full profile…


Mr Kanheng Zhou

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

Full profile…


Mr Xiaowei Zhou


Full profile…


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.

Full profile…