4th International Conference on Medical Imaging with Deep Learning Jul 07, 2021 - Jul 09, 2021 — Virtual Meeting (online)
Medical Image Understanding and Analysis Conference 2021 Jul 12, 2021 - Jul 14, 2021 — Virtual Meeting (online)
Medical Imaging Convention [rescheduled] Sep 15, 2021 - Sep 16, 2021 — National Exhibition Centre, Birmingham, England
2021 SINAPSE ASM Sep 16, 2021 - Sep 17, 2021 — Technology & Innovation Centre, University of Strathclyde, 99 George Street, Glasgow
Total Body PET 2021 conference [rescheduled] Sep 22, 2021 - Sep 24, 2021 — Virtual Meeting (online)

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.