iCAIRD, NHS GG&C and NVIDIA: AI in Healthcare Feb 25, 2021 09:00 AM - 12:15 PM — Virtual Meeting (online)
RiiSE21 Conference Apr 10, 2021 12:00 AM — Virtual Meeting (online)
Scottish Radiological Society Spring Meeting 2021 May 14, 2021 09:00 AM - 05:00 PM — Virtual Meeting (online)
2021 SINAPSE ASM Jun 17, 2021 - Jun 18, 2021 — Provisionally: Medical Sciences Building, University of St Andrews
Medical Imaging Convention [rescheduled] Sep 15, 2021 - Sep 16, 2021 — 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

SINAPSE Image of the Month: Age associations with brain white matter tracts

January 2017 SINAPSE Image of the Month

January2017

Courtesy of Dr Simon Cox and Dr Stuart Ritchie, this image illustrates association magnitudes (standardised βs) between age and mean diffusivity of brain white matter tracts measured with MRI in a sample of more than 3,500 participants from the UK Biobank study, rendered in superior (left), anterior (centre) and lateral (right) views. Diffusion parameters were analysed from 27 major white matter tracts in this group of generally healthy middle-aged and older adults. Tract-specific associations between age and less healthy white matter were found to be strongest (red end of scale) in thalamic and association pathways, and weakest (white end of scale) in projection fibres.

The image is taken from a recent study published in Nature Communications:

Cox SR, Ritchie SJ, Tucker-Drob EM, Liewald DC, Hagenaars SP, Davies G, Wardlaw JM, Gale CR, Bastin ME, Deary IJ. Ageing and brain white matter structure in 3,513 UK Biobank participants. Nature Communications 2016; 7:13629.