Scottish Radiological Society Spring Meeting 2021 May 14, 2021 09:00 AM - 05:00 PM — Virtual Meeting (online)
SINAPSE Virtual Happy Hour May 19, 2021 04:30 PM - 05:30 PM — Virtual Happy Hour (online)
9th Annual Scottish Radiotherapy Research Forum Jun 03, 2021 12:30 PM - 05:00 PM — Virtual Meeting (online)
Scottish Dementia Research Consortium Annual Conference 2021 Jun 16, 2021 10:00 AM - 03:30 PM — Virtual Meeting (online)
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

PhD studentship in Edinburgh: Advanced signal processing and MRI in small vessel disease and dementia

Advanced signal processing and MRI to assess cerebrovascular health in small vessel disease and dementia

Vascular dysfunction is an early feature in Alzheimer’s disease, small vessel disease, and vascular dementia: cerebrovascular reactivity (CVR), intracranial vessel pulsatility, blood-brain barrier (BBB) function, and interstitial fluid (ISF) drainage, are all chronically impaired, and lead to brain damage. However, the contribution of each, and the order in which they occur to cause the pathology, is unknown.

This project will focus on developing advanced magnetic resonance imaging (MRI) methods to measure CVR, brain pulsatility and other aspects of small vessel function, mapping these onto detailed structural brain images to study how changes in these functions lead to brain damage. Better methods to assess dynamic vascular function are essential to study how brain damage occurs in several common diseases. For example, better methods to time the effect of heart beat and breathing on the pulsation of blood and cerebrospinal fluid through the brain, and to relate blood vessel dilation to blood flow and pulsation, are needed.

The student will work on advanced and complex MRI and computational image analysis techniques as applied to human brain imaging in a multidisciplinary team including medical physicists, neurologists, neuroscientists, image analysts and statisticians. The student will apply these methods in ongoing studies of volunteers and patients. The student will gain practical experience of research MRI in volunteers and patients.

A strong background in a quantitative subject such as physics, engineering, computer science or mathematics is necessary; experience in medical imaging and neuroscience may be advantageous but is not essential. The PhD is funded by the MRC as part of the UK Dementia Research Institute Centre at the University of Edinburgh; duration 3.5 years, starting by September 2019.

For more information on the project and how to apply, please visit: https://www.edinburghneuroscience.ed.ac.uk/project/2018-UKDRI-001-Dementia

Interested students should in the first instance contact the supervisor(s) Professor Joanna WardlawProfessor Ian Marshall, Dr Michael Thrippleton, Dr Michael Stringer to discuss the project.

The deadline for application is 26 October 2018