Brain and Brain PET 2022 May 29, 2022 - Jun 01, 2022 — Glasgow
2022 SINAPSE ASM Jun 13, 2022 - Jun 14, 2022 — Strathclyde University, Glasgow
2022 OHBM Annual Meeting Jun 19, 2022 - Jun 23, 2022 — Glasgow, SEC

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. **Unfortunately these do not currently work in browsers**


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: 'Radiology' returned 14 Result(s)

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Professor George Corner

In August 2014 I retired from the NHS after 36 years’ service, latterly as Consultant Medical Physicist, Head of Instrumentation, NHS Tayside where I was collaborator in the establishment of the Dundee ultrasound team.

I hold an Honorary Chair in Bio-engineering at Dundee and am a visiting professor to Strathclyde. With these roles, I  have been able to continue my research interests in the application of Medical Ultrasound both for imaging and therapy. These include  Quality Assurance, clinical applications (the development of both devices and applications), Regulation and teaching.  Sono-elastography, interventional guidance and HIFU have been areas of particular interest as my focus has always been on the technology clinical interface and translation into practice.

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Sean Denham


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Miss Robyn Duncan


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Dr Lorna Gibson


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Dr Calum Gray


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Dr Tiziana Liuti

Computed Tomography (small animal, exotics, equine)

Contrast Enhanced Ultrasound (small animal)

Abdominal and Thoracic Ultrasound (small animal and exotics)

Radiology (small animal, exotics, equine)

MRI (small animal, equine)

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Dr Alessandro Perelli

My main research interests are primarily related to computational imaging, and machine learning, in particular for low-dose poly-energetic 3D/4D and spectral X-ray Computed Tomography (CT) reconstruction.

My particular specialism and passionate interests span to randomized linear algebra, stochastic iterative algorithms and variational inference models.

I am dealing with all aspects of the image reconstruction, from the theoretical mathematical modelling, through the algorithm development, to the handling and processing of experimental CT data together with physical modeling such as scattering.

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Dr Arnab Rana

  • Hippocampal atrophy
  • Cognitive ageing
  • Stroke
  • Brain tumours

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Dr Giles Roditi


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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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