Bernal, JValdés-Hernández, MDCEscudero, JViksne, LHeye, AKArmitage, PAMakin, STouyz, RMWardlaw, JM2020-08-182020-08-182020-02Bernal, J, Valdés-Hernández, MDC, Escudero, J, Viksne, L, Heye, AK, Armitage, PA, Makin, S, Touyz, RM & Wardlaw, JM 2020, 'Analysis of dynamic texture and spatial spectral descriptors of dynamic contrast-enhanced brain magnetic resonance images for studying small vessel disease', Magnetic Resonance Imaging, vol. 66, pp. 240-247. https://doi.org/10.1016/j.mri.2019.11.0010730-725XORCID: /0000-0001-8701-9043/work/76878022https://hdl.handle.net/2164/14947JB holds an MRC Precision Medicine Doctoral Training Programme studentship from the University of Edinburgh. This work was supported by the Row Fogo Charitable Trust (MVH) grant no. BRO-D.FID3668413, Wellcome Trust (patient recruitment, scanning, primary study Ref No. WT088134/Z/09/A), Fondation Leducq (Perivascular Spaces Transatlantic Network of Excellence), and EU Horizon 2020 (SVDs@Target) and the MRC UK Dementia Research Institute at the University of Edinburgh (Wardlaw programme). The authors thank participants in the study, the radiographers and staff at the Edinburgh Imaging Facilities, the UK Dementia Research Institute at the University of Edinburgh.8889049engDynamic descriptorsPrincipal Component Analysisynamic brain magnetic resonance imagecerebral small vessel diseaseDynamic brain magnetic resonance imageCerebral small vessel diseasePrincipal component analysisLACUNARMRIALZHEIMERS-DISEASESTROKEROBUSTOPTIMIZATIONREGISTRATIONR MedicineBiophysicsRadiology Nuclear Medicine and imagingBiomedical EngineeringRJournal article10.1016/j.mri.2019.11.001http://europepmc.org/abstract/med/31730881http://www.scopus.com/inward/record.url?scp=85075511159&partnerID=8YFLogxK66