Methods to quantify and visualize venules using structural magnetic resonance imaging scans
Data CreatorJochems, Angela
Jaime García, Daniela
Valdés Hernández, Maria del C
PublisherUniversity of Edinburgh. Department of Neuroimaging Sciences. Centre for Clinical Brain Sciences
Relation (Is Referenced By)https://doi.org/10.1161/STROKEAHA.120.029163
MetadataShow full item record
CitationJochems, Angela; Blair, Gordon; Stringer, Michael; Thrippleton, Michael; Clancy, Una; Chappell, Francesca; Brown, Rosalind; Jaime García, Daniela; Hamilton, Olivia; Morgan, Alasdair; Marshall, Ian; Hetherington, Kirstie; Wiseman, Stewart; MacGillivray, Tom; Valdés Hernández, Maria del C; Doubal, Fergus; Wardlaw, Joanna. (2020). Methods to quantify and visualize venules using structural magnetic resonance imaging scans, 2000-2019 [dataset]. University of Edinburgh. Department of Neuroimaging Sciences. Centre for Clinical Brain Sciences. https://doi.org/10.7488/ds/2755.
DescriptionThese data were part of a project to design and validate a clinically relevant method to visually assess venules from magnetic resonance imaging (MRI) structural scans, conducted primarily by Miss. Angela C.C. Jochems, supervised by Dr. Maria del C. Valdés Hernández and Prof. Joanna M. Wardlaw. Cerebral venules remain understudied in general, perhaps due to difficulties in visualising or differentiating venules from arterioles using MRI. Recent advances in MRI allow visualisation of cerebral venules since the deoxygenated venous blood provides an intrinsic contrast agent on T2*-weighted sequences such as gradient echo (GRE), and on susceptibility weighted imaging (SWI). This has led to several visual and computational venular quantification methods being described in individuals with multiple sclerosis, sporadic small vessel disease-related features, moyamoya disease, sickle cell anaemia, neurosarcoidosis, early Alzheimer’s disease and amnestic mild cognitive impairment, cerebral autosomal-dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), healthy individuals, and hypertensive rats. These studies use different regions of interest (ROI), field strengths and venular quantification metrics. We extracted these data to give an overview of the state-of-art of the brain venular assessment methods developed up to July 2019 (date of completion of this project).
Overview of the methods for visually (or computationally) assess brain veins from structural MRI published up to July 2019 (143.2Kb)
Regions of Interest and imaging acquisition parameters of the methods to assess brain veins in humans using structural MRI up to July 2019. (148.5Kb)