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4th International Workshop on Image Processing Techniques and Applications Jul 22, 2019 - Jul 23, 2019 — Centre for Mathematical Imaging Techniques (CMIT), University of Liverpool, England
Medical Image Understanding and Analysis Conference 2019 Jul 24, 2019 - Jul 26, 2019 — University of Liverpool, England
Neuroimaging in diseases that cause dementia Aug 22, 2019 - Aug 23, 2019 — King’s College Conference Centre, University of Aberdeen
IEEE International Ultrasonics Symposium 2019 Sep 06, 2019 - Sep 09, 2019 — Scottish Events Campus, Glasgow
2019 UK PET Chemistry Meeting Sep 09, 2019 09:00 AM - 05:45 PM — Michael Smith Building, University of Manchester

Funding for PICTURES project to develop clinical tools from Scotland's national medical imaging archive

April 2019 - Two SINAPSE partner Universities, industry collaborators, and NHS Scotland awarded £4.4M for PICTURES project

A Scottish consortium of partners from academia, industry, and the NHS has been awarded £4.4M for a project entitled InterdisciPlinary Collaboration for efficienT and effective Use of clinical images in big health care RESearch (PICTURES). Led by the University of Dundee, in partnership with the University of Edinburgh, Abertay University, NHS Scotland, and industry collaborators, the project received funding through an MRC Industry Collaboration Agreement, with additional support from EPSRC and as part of HDR UK.

The PICTURES project will leverage "big data" from Scotland's national medical imaging archive to develop new clinical tools for disease diagnosis and risk prediction. Its core will research and develop underlying technologies, allowing researchers to work on vast amounts of medical imaging data in a secure environment and protect individual patient information. This activity will support two exemplar projects to prove and showcase the capabilities of a research database comprising approximately 30 million images from routine clinical scans across Scotland since 2006:

  1. Development of a method (in collaboration with industry partner Aidence) to detect warning signs of coronary artery disease and lung cancer using artificial intelligence to check patients’ CT chest scans, which can be converted into a clinical tool to support doctors on the front line in the NHS.
  2. Validation of a predictive tool using artificial intelligence methods to predict individual risk of future dementia among diabetic patients using MRI brain scans, genetic data and medical records.

By enabling research access to routinely collected and linked medical imaging data for the Scottish population, established simultaneously with foundational cybersecurity and privacy tools to guarantee patient confidentiality, PICTURES will ultimately develop a service to provide anonymised extracts of hundreds of thousands of clinical images for research.

University of Dundee press release