BMUS Ultrasound 2019 Dec 10, 2019 - Dec 12, 2019 — Harrogate, England
Scottish Ophthalmic Imaging Society meeting Feb 14, 2020 09:30 AM - 05:00 PM — Royal Society of Edinburgh, 22-26 George Street, Edinburgh
8th Annual Scottish Radiotherapy Research Forum Mar 12, 2020 10:00 AM - 04:30 PM — Stirling Court Hotel, University of Stirling
Medical Imaging Convention 2020 Mar 17, 2020 10:00 PM - 04:00 PM — National Exhibition Centre, Birmingham, England
9th SINAPSE Neuro-oncology Imaging Meeting Mar 19, 2020 12:00 AM — West Park Conferencing & Events, 319 Perth Road, Dundee DD2 1NN

eLearning

SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.


Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

People

Your search for Keyword: 'Neuroradiology' returned 11 Result(s)



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Dr Viveka Biswas

Stroke medicine, Neurology, Neuroradiology

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Sean Denham


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Dr Lorna Gibson


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Professor Donald Hadley

I am involved a range of investigations into the theme of central nervous system injury: its causes, repair mechanisms and outcome; how they might be visualized and measured objectively by neuroimaging at each stage particularly in relation to their response to therapy. These insults to the brain and spinal cord range through trauma, stroke, demyelination and epilepsy to the growth of neoplasms. I am using investigations such as MRI, MRS fMRI, diffusion and perfusion in addition to radionucleotide SPECT scanning and PET. I am interested in the ethics of research imaging and the safety aspects of magnetic resonance and ionising radiation.

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Dr Grant Mair

My primary research interest is the imaging of ischaemic stroke.

Since 2012, I have been working on subgroup analyses of imaging from the Third International Stroke Trial (IST-3), a large randomised-controlled trial of intravenous alteplase versus control.

In particular, I am investigating whether imaging evidence of arterial obstruction (e.g. hyperdense artery sign as a surrogate marker or flow deficits on CT/MR angiography) and the results from advanced CT/MR perfusion techniques should influence our decision to treat patients with intravenous thrombolytic drugs.  This is especially important in an era where ischaemic stroke treatment is changing with new evidence supporting the use of direct clot retrieval.

I am also developing interests in the use of computational systems for the automated analysis of CT imaging in stroke and natural language processing algorithms for identifying and classifying stroke patients from within very large radiology report datasets.

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Dr Sankaranarayanan Ramachandran


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Dr Arnab Rana

  • Hippocampal atrophy
  • Cognitive ageing
  • Stroke
  • Brain tumours

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Shaun R. Stone

Shaun Stone is a final year Ph.D. ERC studying Medical Imaging at the University of Aberdeen under the supervision of Professor Alison Murray. He is the deputy student lead of the Image Analysis group of the Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE), a consortium of seven Scottish universities. His research is titled “Cognitive Reserve Estimation Models from Brain MRI in Healthy Ageing: A Machine Learning Approach”, under the supervision of Professor Alison D. Murray (University of Aberdeen), Dr Roger Staff (NHS), Professor Joanna Wardlaw, Professor Craig Ritchie (University of Edinburgh) and Dr Robin Wolz (IXICO). Cosupervisors to this project at Dr Gordon Waiter and Dr Anca Sandu-Giuraniuc. His project is funded by SINAPSE and industry partners IXICO.

His project aims to identify the most important MR imaging biomarkers that influence differences in cognitive resilience. That is, given the life-course of an individual, what are the imaging characteristics that allow us to predict increased risk of cognitive impairment? Further, what factors provide resilience against age- and disease-related brain changes? He is passionate about computational neuroscience, artificial intelligence and computer-assisted diagnosis in medical imaging. Shaun completed his undergraduate (BSc) degree in Psychology with Neuroscience, and postgraduate (MSc) degree in Neuroimaging at Bangor University, North Wales - where he gained experience using a range of neuroimaging techniques. Shaun continues to learn, using his neuro-background to transfer into computational medicine and diagnostic imaging and is looking forward to his future career in research or industry, thanks to this opportunity.

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Miss Charlotte Sutherland


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Dr Sydney Williams


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Mr Steven Winata


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