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
2nd Scottish Ultrasound Annual Scientific Meeting Feb 28, 2020 10:00 AM - 05:00 PM — Collins Building, University of Strathclyde
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

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

PECRE award recipients

November 2019 - Six SINAPSE members awarded funding for international research exchanges

Congratulations to the SINAPSE early career researchers selected to receive PECRE funding for international research exchanges in the latest round of applications:

 

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Magda Mustile

Magda Mustile is a second year PhD student in Psychology at the University of Stirling. After completing her undergraduate and master degrees in Neuroscience at the Second University of Naples (Italy), she qualified as a Psychologist and continued with a MSc in Cognitive and Clinical Neuroscience at the University of LUMSA in Rome (Italy). For her PhD she is now working on gait related cortical oscillations, supervised by Dr Magdalena Ietswaart and Dr Dimitrios Kourtis. Her research focuses on using mobile brain imaging to understand and monitor motor impairments and neurologic disorders in real world contexts.

For her PECRE exchange, Magda will spend one month collaborating with the group of Prof Martin Edwards at the Université Catholique de Louvain (Belgium), and with the group of Dr Daniele Caligiore at the Laboratory of Computational Embodied Neuroscience of the National Research Council (Italy). Mobile brain imaging using EEG during ambulation is still in its infancy and the exchange visit will thus provide Magda an opportunity to exchange expertise, as well apply this approach in patient populations, assessing the reliability of mobile brain imaging to detect cortical signatures of neurologic disorders and to advance the technical aspects of her project.

 

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Robert Shaw

Robert Shaw is a second year PhD student at the University of Edinburgh. He completed his undergraduate MSci in Neuroscience at the University of Glasgow in 2017 before moving to a research assistant position within the University of Glasgow. His PhD project is supervised by Dr Adriana Tavares (Head of the Edinburgh Preclinical Imaging PET-CT facility). His project focuses on the preclinical testing and validation of a novel radiotracer for imaging myelination/remyelination with PET.

For his PECRE exchange, Robert will be traveling to the University of Virginia (USA). He will be working with Prof Kevin Lynch to test pharmacology of sphingosine-1-phospate receptors for validation of the PET imaging target. He will learn how to develop and test new probes for in situ hybridisation to describe regional distribution of the PET target alongside autoradiography experiments conducted at the University of Edinburgh. This work is vital in novel radiotracer development for imaging myelination/remyelination and has the potential to inform and improve research into better treatments for demyelinating disorders, such as Multiple Sclerosis.

 

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Fraser Sneden

Fraser Sneden completed an undergraduate degree in Neurosciences at University of Dundee, and an MSc(Res) in Cognitive Neuroscience and Human Neuroimaging at University of Sheffield. He is now a second year PhD student studying Cardiovascular Sciences at University of Glasgow. He is funded by the British Heart Foundation, Stroke Association and Neurosciences Foundation. Fraser is supervised by Dr David Alexander Dickie and Prof Jesse Dawson. His PhD project focuses on the relationship between carotid artery structure, brain structure and cognition in ischaemic stroke patients. He will also evaluate any effects of allopurinol on carotid structure in preventing ischaemic stroke as part of the XILO-FIST clinical trial.

For his PECRE exchange, Fraser will spend one month between Erasmus Medical Centre, Rotterdam (Netherlands) and University Medical Centre, Utrecht (Netherlands). The exchange visit will provide Fraser an opportunity to familiarise himself with image segmentation procedures of vascular structures based on MR angiography (MRA). Additionally, Fraser will gain insight into the use of machine learning to evaluate vessels based on MRA. Fraser aims to build new collaborations with the teams in the Netherlands and expand upon the understanding of MRA image analysis for cerebrovascular disease.

 

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Rachana Tank

Rachana Tank is a Ballie Gifford funded second-year PhD student in Public Health at the University of Glasgow. She gained her bachelor's degree in psychology and neuroscience at the University of North Carolina Wilmington (USA) and went on to complete an MSc in neuropsychology at Maastricht University (Netherlands). Rachana is now supervised by Dr Donald Lyall, Dr Kristin Flegal and Prof Jonathan Cavanaugh and her PhD investigates the influence of cardiometabolic conditions on brain health and cognition in the UK Biobank. The project focuses on using genetic, imaging and health data to understand associations between cardiometabolic diseases, their risk factors and outcomes in brain MRI and cognitive ability.

During her PECRE exchange visit to the Biomedical Imaging Group at Erasmus MC, Rotterdam (Netherlands), Rachana will work on the application and validation of a deep learning based algorithm developed by Erasmus MC spin-off company Quantib. Quantib image analysis tools aim to identify image biomarkers such as quantification of brain volumes, microbleeds, tracking atrophy development and white matter hyperintensity segmentation. Rachana will learn about how the biomedical imaging team in Rotterdam works with large MRI data sets using Quantib tools.

 

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Alexandra Wright

Alexandra Wright is a Human Frontier Science Program Postdoctoral Fellow at the University of St Andrews. She completed her PhD in marine biology at the University of California, San Diego (USA) and received her BSc in marine science and biology at the University of Miami (USA). Her research interests are in comparative structural and functional neuroanatomy, and she is currently investigating the functional lateralisation of echolocation and communication acoustic systems in bottlenose dolphins.

For her PECRE exchanges, Alexandra will visit the Biomedical Imaging Research Group of Professor Luis Martí-Bonmatí at the Hospital Universitario y Politécnico La Fe in Valencia (Spain). During two exchange visits, she will acquire structural and functional MRI data from dolphins and learn new techniques for processing and analysing multimodal neuroimaging data to assess whether echolocation and communication signal processing is lateralised in the dolphin brain.

 

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Shufan Yang

Shufan Yang is currently a lecturer in the James Watt School of Engineering at University of Glasgow. Her research interests are system-on-chip, embedded vision and ultrasound imaging. She received her PhD in Computer Science from the University of Manchester in 2010, after completing BSc (1998) and MSc (2003) degrees from Hunan University in China. Professionally, she has rich experience in both industry and academia.

Shufan will visit a radiologist at First Huaxi Hospital, Sichuan (China) to collaborate on new ultrasound image processing architectures. Traditional ultrasound imaging approaches have relied on interpolation to produce B-mode images which therefore have less contrast and are often blurred. In this exchange visit, they will explore the potential for neural network based optimization to improve ultrasound image quality by increasing accuracy during ultrasound scanline conversion.