Computational model from the article: Bernal, J.; Valdés-Hernández, M.; Escudero, J.; Heye, A.; Sakka, E.; Armitage, P.; Makin, S.; Touyz, R.; Wardlaw, J.; Thrippleton, M. A Four-Dimensional Computational Model of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Measurement of Subtle Blood-Brain Barrier Leakage. Preprints 2020, 2020100200 (doi: 10.20944/preprints202010.0200.v1).
This work is supported by the MRC Doctoral Training Programme in Precision Medicine (JB); the Wellcome Trust (patient recruitment, scanning, and primary study - Reference No. WT088134/Z/09/A); the UK Dementia Research Institute, which receives its funding from DRI Ltd, funded by the UK MRC, Alzheimer’s Society, and Alzheimer’s Research UK; the Fondation Leducq Network for the Study of Perivascular Spaces in Small Vessel Disease (16 CVD 05); The Row Fogo Charitable Trust Centre for Research into Aging and the Brain (MVH) (BRO-D.FID3668413); a British Heart Foundation Chair award (RMT) (CH/12/4/29762); and NHS Lothian Research and Development Office (MJT); European Union Horizon 2020, PHC-03-15, project No666881. We thank the participants, their families, radiographers at Edinburgh Imaging, and the Stroke Research Network at the University of Edinburgh.
Bernal, Jose; Valdés-Hernández, Maria d C; Escudero, Javier; Heye, Anna K; Sakka, Eleni; Armitage, Paul A; Makin, Stephen; Touyz, Rhian M; Wardlaw, Joanna M; Thrippleton, Michael J. (2020). A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage: source code, [software]. University of Edinburgh. https://doi.org/10.7488/ds/2966.