Scottish Radiological Society Spring Meeting 2021 May 14, 2021 09:00 AM - 05:00 PM — Virtual Meeting (online)
9th Annual Scottish Radiotherapy Research Forum Jun 03, 2021 12:30 PM - 05:00 PM — Virtual Meeting (online)
Medical Imaging Convention [rescheduled] Sep 15, 2021 - Sep 16, 2021 — National Exhibition Centre, Birmingham, England
Total Body PET 2021 conference [rescheduled] Sep 25, 2021 - Sep 27, 2021 — McEwan Hall, University of Edinburgh


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 opportunity at Dundee: Prediction of individual patient survival and GBM tumour characteristics

Prediction of individual patient survival and glioblastoma multiforme tumour characteristics

Glioblastoma multiforme (GBM) is associated with a median survival of just over one year and is the most common and aggressive malignant brain tumour. Brain biopsy is the gold standard for classification of histology and molecular characteristics but complicated by tumour heterogeneity. Routinely acquired NHS brain MR imaging allows diagnosis and tumour segmentation for surgery and radiotherapy planning. Quantitative analysis of tumour volume image characteristics, termed Texture Analysis (TA), can allow prediction of patient survival, glioma grade and molecular status, but is not routinely done.

The aims of this PhD studentship are: a) to develop new multiscale computer code for TA incorporating the best existing methods and b) combine it with machine learning to determine accuracy of prediction of patient survival and tumour characteristics. Multiscale tumour growth models will be further developed and fitted to NHS scan data, to c) determine whether this added longitudinal information enhances the accuracy of individual patient predictions.

This project will suit a student with a strong mathematics and/or computer science background interested in applying their expertise to medical research. Training will be provided in the clinical context of this translational study, neuroimaging, machine learning and computational modelling. The project is offered through an exciting new doctoral training programme that will expand interdisciplinary cancer research at the University of Dundee, focussing on translational research in precision cancer medicine. The DTP is open to scientifically qualified applicants and also clinicians who wish to undertake research training.

For details of this project with supervisors Prof Douglas Steele, Dr Kismet Ibrahim and Dr Dumitru Trucu, go to

The deadline for application is 22 March 2021