Dr Tom MacGillivray
Senior Research Fellow & Image Analysis Core Laboratory Manager
- Centre for Clinical Brain Sciences
- Edinburgh Imaging
- Edinburgh Clinical Research Facility
Contact details
- Tel: +44 (0)131 465 9565
- Email: T.J.MacGillivray@ed.ac.uk
Background
- Specialises in the field of image processing and analysis for clinical research
- My team staffs the Image Analysis Core laboratory of the Edinburgh Imaging QMRI facility joint with the Edinburgh Clinical Research Facility
- The laboratory provides specialist support to investigators accessing data from a variety of modalities including MR, CT, PET, ultrasound and retinal imaging
- Experience facilitating research that features retinal imaging and includes studies on stroke, cardiovascular disease, MS, and cognitive change with age
- Co-ordinates an interdisciplinary initiative called VAMPIRE (Vascular Assessment and Measurement Platform for Images of the REtina) - aim is efficient, semi-automatic analysis of retinal images
Qualifications
Bachelor of Science, University of Edinburgh
Master of Science, University of Edinburgh: Acoustic pulse reflectometry for the measurement of tubular structures
Doctor of Philosophy (PhD), University of Edinburgh: The application of laser anemometry in acoustic measurement standards
Postgraduate Diploma, University of Edinburgh: Academic Practice
Research summary
Image analysis allow the identification of biomarkers to aid in diagnosis, quantify disease progress, assess treatment response and inform decision making in drug discovery. In addition it is increasingly possible to relate imaging to genetic traits in individual and population studies. My team’s expertise helps to ensure that the appropriate imaging data are acquired, interpreted and analysed correctly in order to access their full potential.
Current research interests
Development of novel image processing algorithms for use in cutting-edge medical imaging and clinical research. Multi-modal retinal scanning - fundus camera, Scanning Laser Ophthalmoscope, OCT, Auto Fluorescence. Advance retinal analysis algorithm development - see VAMPIRE project for more details - http://vampire.computing.dundee.ac.uk/. Retinal imaging derived biomarker identification for neurodegeneration and systemic disease. Engaging with Industry to improve the acquisition and broadening the application of retinal imaging.Research activities
-
A multimodal approach to cardiovascular risk stratification in patients with type 2 diabetes incorporating retinal, genomic and clinical features
In:
Scientific Reports, vol. 9, no. 1
DOI: https://doi.org/10.1038/s41598-019-40403-1
Contribution to journal › Article (Published) -
Retinal microvasculature and cerebral small vessel disease in the Lothian Birth Cohort 1936 and Mild Stroke Study
In:
Scientific Reports
Contribution to journal › Article (Accepted/In press) -
Automated detection of age-related macular degeneration in color fundus photography: A systematic review
In:
Survey of Ophthalmology
DOI: https://doi.org/10.1016/j.survophthal.2019.02.003
Contribution to journal › Review article (E-pub ahead of print) -
Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: A systematic review
In:
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
DOI: https://doi.org/10.1016/j.dadm.2018.07.004
Contribution to journal › Review article (E-pub ahead of print) -
Using orthogonal locality preserving projections to find dominant features for classifying retinal blood vessels
In:
Multimedia Tools and Applications, pp. 1-21
DOI: https://doi.org/10.1007/s11042-018-6474-7
Contribution to journal › Article (E-pub ahead of print)