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.-
Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population
DOI: https://doi.org/10.1007/978-3-030-52791-4_31
Research output: › Chapter (Published) -
Rationale and design of a longitudinal study of cerebral small vessel diseases, clinical and imaging outcomes in patients presenting with mild ischaemic stroke: Mild Stroke Study 3
In:
European Stroke Journal, pp. 239698732092961
DOI: https://doi.org/10.1177/2396987320929617
Research output: Contribution to Journal › Article (Published) -
Relationship Between Venules and Perivascular Spaces in Sporadic Small Vessel Diseases
In:
Stroke
DOI: https://doi.org/10.1161/STROKEAHA.120.029163
Research output: Contribution to Journal › Article (Published) -
Retinal Vessel Analysis as a Novel Screening Tool to Identify Childhood Acute Lymphoblastic Leukemia Survivors at Risk of Cardiovascular Disease
In:
Journal of Pediatric Hematology/Oncology, pp. 1
DOI: https://doi.org/10.1097/MPH.0000000000001766
Research output: Contribution to Journal › Article (Published) -
Retinal vessel phenotype in patients with primary open‐angle glaucoma
In:
Acta Ophthalmologica, vol. 98
DOI: https://doi.org/10.1111/aos.14192
Research output: Contribution to Journal › Article (Published)