2020 SINAPSE ASM Jun 19, 2020 09:00 AM - 05:00 PM — Virtual Meeting (online)
3rd International Conference on Medical Imaging with Deep Learning Jul 06, 2020 - Jul 08, 2020 — Virtual Meeting (online)
Medical Image Understanding and Analysis Conference 2020 Jul 15, 2020 - Jul 17, 2020 — Virtual Meeting (online)
CAFACHEM 2020 Summer School on Organic & Halogen Radiochemistry Aug 25, 2020 - Aug 28, 2020 — KCL Waterloo Campus, London
Scottish Dementia Research Consortium Annual Conference 2020 [rescheduled] Sep 07, 2020 10:00 AM - 04:00 PM — Radisson Blu, 301 Argyle St, Glasgow

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: Ovine brain MRI segmentation

November 2019 SINAPSE Image of the Month

November2019

Courtesy of Dr Gerry Thompson, this image shows brain MRI images from a 3-month-old sheep which has been genome edited to express the human PPT1 mutation responsible for Batten disease – a rare nervous system disorder that causes dementia and early death in children. CRISPR/Cas9 gene editing technology was used to produce an ovine disease model at the University of Edinburgh's Roslin Institute. Symptoms of the genetic condition in this large animal model should more closely mimic the experience of children with the illness, compared with conventional studies on mice or fruit flies. Sheep with the PPT1 mutation can be monitored and tested in similar ways to human patients, including with MRI scans.

In the image above, from top to bottom at left, there are orthogonal sections from a structural T1-weighted MPRAGE MRI of the brain (first row), with overlaid grey matter probabilistic segmentation (second row), overlaid cortical thickness measurement (third row), and overlaid white matter probabilistic segmentation (fourth row). At right, there is cortical region segmentation (top) with 3D rendering (bottom).