BMUS Ultrasound 2019 Dec 10, 2019 - Dec 12, 2019 — Harrogate, England
Scottish Ophthalmic Imaging Society meeting Feb 14, 2020 09:30 AM - 05:00 PM — Royal Society of Edinburgh, 22-26 George Street, Edinburgh
2nd Scottish Ultrasound Annual Scientific Meeting Feb 28, 2020 10:00 AM - 05:00 PM — Collins Building, University of Strathclyde
8th Annual Scottish Radiotherapy Research Forum Mar 12, 2020 10:00 AM - 04:30 PM — Stirling Court Hotel, University of Stirling
Medical Imaging Convention 2020 Mar 17, 2020 10:00 PM - 04:00 PM — 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

Andreas Glatz

Position: SINAPSE PhD Student
Institute:
Department:


Description of Phd:

 

A quarter of all strokes are due to abnormal microvessels, but this small vessel disease is also a major cause of age-related cognitive impairment and dementia. Some features of small vessel disease are visible on conventional structural MRI, but by the time these changes are visible, much damage may already have been done to the brain. Recently developed techniques enable detection of subtle early changes that may relate to small vessel and brain tissue damage. These include new methods that enable visualisation of the venular system (e.g. 3D multi-echo T2*-weighted sequences and phase mapping in conventional gradient echo MRI), of blood brain barrier function (permeability imaging using gadolinium and mathematical modelling), small vessel perfusion and brain mineralisation (iron in the form of basal ganglia deposits and microbleeds as well as calcium and other minerals). Realisation of the important role that brain mineral deposition may play in pathological processes is only now emerging so methods for detection and quantification of brain iron and of other minerals would be particularly valuable. All these techniques are only beginning to emerge, require further development and refinement particularly if quantitative measurements are to be made, and application in human studies to improve understanding of small vessel disease.    In this collaborative project with GE, the student will implement, modify and evaluate methods to increase sensitivity of sequences to brain mineralisation and other features of small vessel damage and to improve analysis of this novel imaging data. Of particular interest are developing and evaluating fast T1 and  T2-mapping sequences, incorporating phase information from 3D susceptibility-weighted acquisitions (e.g. GE’s “SWAN” sequence), improving segmentation of grey and white matter volumes using double inversion prepared isotropic T2-weighted acquisitions (e.g. GE’s “modified CUBE” sequence) and measuring small vessel perfusion. This will involve work with phantoms to characterise mineral signals ex vivo, sequence programming using GE’s EPIC programming language, evaluation in normal volunteers and existing data from patients with stroke and in studies of ageing in which phase information from gradient echo sequences has been acquired.  The student will work as part of a team that is focussing on a range of methods for imaging and quantifying the development and effects of small vessel disease in stroke, ageing and dementia.