Dr Tom MacGillivray
Senior Research Fellow & Image Analysis Core Laboratory Manager
- Edinburgh Clinical Research Facility
- Edinburgh Imaging
- Centre for Clinical Brain Sciences
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.-
2D alpha‑shapes to quantify retinal microvasculature morphology and their application to proliferative diabetic retinopathy characterisation in fundus photographs
In:
Scientific Reports, vol. 11
DOI: https://doi.org/10.1038/s41598-021-02329-5
Research output: Contribution to Journal › Article (Published) -
Retinal arteriolar tortuosity and fractal dimension are associated with long-term cardiovascular outcomes in people with type 2 diabetes
In:
Diabetologia, pp. 2215-2227
DOI: https://doi.org/10.1007/s00125-021-05499-z
Research output: Contribution to Journal › Article (Published) -
Changes in retinal vascular diameters in senior and geriatric cats in association with variation in systemic blood pressure
In:
Journal of Feline Medicine and Surgery, pp. 1-11
DOI: https://doi.org/10.1177/1098612X21997629
Research output: Contribution to Journal › Article (Published) -
Investigation of associations between retinal microvascular parameters and albuminuria in UK Biobank: a cross-sectional case-control study
In:
BMC Nephrology, vol. 22
DOI: https://doi.org/10.1186/s12882-021-02273-6
Research output: Contribution to Journal › Article (Published) -
The application of optical coherence tomography angiography in Alzheimer’s disease: A systematic review
In:
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
DOI: https://doi.org/10.1002/dad2.12149
Research output: Contribution to Journal › Article (E-pub ahead of print)