2022 PET Pharmacokinetic Modelling Course May 26, 2022 - May 28, 2022 — Edinburgh
Brain and Brain PET 2022 May 29, 2022 - Jun 01, 2022 — Glasgow
2022 SINAPSE ASM Jun 13, 2022 - Jun 14, 2022 — Strathclyde University, Glasgow
2022 OHBM Annual Meeting Jun 19, 2022 - Jun 23, 2022 — Glasgow, SEC


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. **Unfortunately these do not currently work in browsers**

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

Lynne McCormick

Position: SINAPSE PhD Student

Description of Phd:

There is a clinical and research need to assess the burden of atheromatous disease in an individual for the purposes of diagnosing the extent and severity of co-existing sites of atheromatous disease. Whole body angiography using MRI has been developed with advancing technology. The validated quantitative score of contrast-enhanced MRI whole body atheroma burden (CE-WBA) developed in Dundee allows identification of patients by site, overall severity and burden of disease, and likelihood of rapidly progressive disease which is valuable for diagnostic and screening studies and sequential intervention research studies. There is a need to develop a semi-automated analysis of the multiple segment vascular analysis as this is time consuming and subject to variable measurement. This has been applied to certain vascular territories but not to the whole body. In Dundee we have undertaken over 1200 CE-WBA examinations as part of ongoing research studies (TASFORCE Chest Heart and Stroke, SUMMIT EU IMI, TMRI) in asymptomatic patients with risk of cardiovascular disease, diabetic and non-diabetic patients and patients with symptomatic peripheral arterial disease. The aim of the project is to develop an automated method of determining whole body atheroma score (WBA score) from MR angiographic data. The key stages in the software development will be:

  • Designing a user interface which is compatible with the existing MR imaging vendors post-processing platforms
  • Develop image vessel tracking and vessel stenosis (narrowing) quantification for each vascular segment
  • Allocation of a segmental score and overall whole body atheroma score
  • Archiving of results in a DICOM format report