Medical Imaging Convention [rescheduled] Mar 09, 2021 - Mar 10, 2021 — National Exhibition Centre, Birmingham, England
9th SINAPSE Neuro-oncology Imaging Meeting [rescheduled] Mar 11, 2021 09:30 AM - 03:30 PM — West Park Conferencing & Events, 319 Perth Road, Dundee DD2 1NN
Total Body PET 2020 conference [rescheduled] Jun 05, 2021 - Jun 07, 2021 — McEwan Hall, University of Edinburgh

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).