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

SINAPSE Image of the Month: Retinal vascular parameters

May 2018 SINAPSE Image of the Month

May2018

Courtesy of Dr Tom MacGillivray, this image of the retina was acquired with an ultra-widefield (UWF) scanning laser ophthalmoscope (Optos P200C AF). UWF technology allows the entire retina to be imaged, including the periphery. Software developed by SINAPSE researchers in the Vascular Assessment and Measurement Platform for Images of the REtina (VAMPIRE) project measures the following retinal vascular parameters for grading: the complexity of the vascular branching pattern [turquoise lines], branching points [green dots], and vessel widths for arterioles [red line] and venules [blue line]. Such vascular characteristics quantifiable on retinal imaging have been shown to reflect cerebrovascular health, complementing brain imaging.

A recently published pilot study in collaboration with VAMPIRE and researchers at Queen's University Belfast identified retinal vascular parameters analysed from UWF images as potential biomarkers for Alzheimer’s disease and its progression:

Csincsik L, MacGillivray TJ, Flynn E, Pellegrini  E, Papanastasiou G, Barzegar-Befroei N, Csutak A, Bird AC, Ritchie CW, Peto T, Lengyel I. Peripheral Retinal Imaging Biomarkers for Alzheimer’s Disease: A Pilot Study. Ophthalmic Res 2018; 59:182-192.