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SINAPSE
Scottish Imaging Network: A Platform for Scientific Excellence
David Rodrìguez now has a research post in the Brain Research Imaging Centre, http://www.bric.ed.ac.uk, led by Professor Joanna Wardlaw, http://www.ccbs.ed.ac.uk/members/profile.asp?staffID=11. This is a modest change, as he will continue to work closely with the DIR group and drop into Informatics regularly; it is an inversion of his previous modus operandi of the last three years, where he was based in Informatics and visited BRIC at least two days per week.
Brain Images of Normal Subjects (BRAINS) bank and atlases are being developed with >1000 normal subjects from across the lifespan, to be expanded in the future to include subjects with disease. The images have been collected in centres across Scotland and are in a range of magnetic resonance (MR) sequences, including T1, T2, T2*, and fluid attenuated inversion recovery (FLAIR). When BRAINS is released these will be searchable by a wide range of metadata, e.g. blood pressure<140/90; age=85; MMSE>26.
I am delighted to report that Fan Zhu's external examiners were pleased with his thesis and his spirited viva defense. They have recommended a pass with a few minor corrections. A big thank you to Professors Gary Green and Richard Baldock.
Title:
Brain Perfusion Imaging - Performance and Accuracy
Brain imaging researchers execute complex multistep workflows in their computational analysis. Those workflows often include applications that have very different user interfaces and sometimes use different data formats. A good example is the brain perfusion quantification workflow used at the BRIC (Brain Research Imaging Centre) in Edinburgh.
Quality Assurance (QA) is used to monitor the performance of MRI scanners and this is particularly important in multicentre imaging studies. In SINAPSE (Scottish Imaging Network a Platform for Scientific Excellence) a common QA protocol was agreed after studying the different QA protocols being used in the seven participant MR scanners in four centres and analysing the needs of multicentre studies. This common protocol provides a framework for monitoring the quality of the data obtained in the different centres to help facilitate the combination of data between centres.
Date and time:
Friday, 26 March, 2010 - 15:40
Location:
Edinburgh Training & Conference Centre, 16 St. Mary's Street, Edinburgh, UK
Medical imaging acquired primarily for patient diagnosis is also of value for research and teaching. The Data Protection Act (1998), which regulates the use of personal data, indicates that only the identifying data that is required for a purpose should be held. At this moment, no commonly accepted solution exits because the amount of personal data that is required by research and teaching changes case by case.
Date and time:
Wednesday, 17 June, 2009 - 11:00
Location:
SINAPSE Annual Scientific Meeting 2009, The Royal College of Physicians of Edinburgh, Edinburgh, UK
The meeting will be a forum to discuss issues affecting medical imaging data access and sharing of research medical images in Scotland. It would cover various aspects like information governance, data transfer and data anonymisation. There is a key strategic need for a national discussion on these topics between NHS and Universities in Scotland. The aim is to have an intensive discussion after some keynotes and it is hoped that the outcome will be a willingness at a high level to facilitate a solution to this medical imaging data challenge.
Location:
e-Science Institute, 15 South College Street, Edinburgh
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2. Andersen IK et al; “Perfusion Quantification Using Gaussian Process Deconvolution”. Magnetic Resonance in Medicine 48:351-361 (2002).
3. Williams CKI and Rasmussen CE; “Gaussian processes for regression”. Advances in neural information processing systems, (1996), 514-520.
4. Choudhury A, Nair PB and Keane A; “A Data Parallel Approach for Large-Scale Gaussian Process Modeling”. Proc. the Second SIAM International Conference on Data Mining (2002).
SINAPSE is the “Scottish Imaging Network: A Platform for Scientific Excellence”; it comprises a collaboration of six universities with research imaging facilities. Its objectives are to develop imaging expertise, support multi-centre clinical research in conjunction with the Clinical Research Networks, improve the ability of neuroscientists to collaborate on clinical trials and have a direct impact on patient health. One of the means to achieve these objectives is to provide an e-infrastructure that enables multi-centre clinical research through data sharing.
