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Perivascular spaces: an early marker of vascular contributions to neurodegeneration
Wardlaw, Joanna
(Principal Investigator)
Ballerini, Lucia
(Co-investigator)
Chappell, Francesca
(Co-investigator)
Valdes Hernandez, Maria
(Co-investigator)
Deanery of Clinical Sciences
Small Vessel Disease Research
Edinburgh Neuroscience
School of Informatics
Overview
Fingerprint
Research output
(1)
Project Details
Status
Active
Effective start/end date
1/10/20
→
31/12/23
Funding
Other:
£397,685.00
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Imaging techniques
Engineering & Materials Science
100%
Artifacts
Medicine & Life Sciences
84%
Sampling
Engineering & Materials Science
45%
Biomarkers
Engineering & Materials Science
40%
Noise
Medicine & Life Sciences
40%
White Matter
Medicine & Life Sciences
39%
Magnetic resonance
Engineering & Materials Science
34%
Stroke
Medicine & Life Sciences
29%
Research output
Research output per year
2022
2022
2022
1
Article
Research output per year
Research output per year
Assessment of perivascular space filtering methods using a three-dimensional computational model
Bernal, J.
,
Valdés-hernández, M. D. C.
,
Escudero, J.
,
Duarte, R.
,
Ballerini, L.
,
Bastin, M. E.
,
Deary, I. J.
,
Thrippleton, M. J.
,
Touyz, R. M.
&
Wardlaw, J. M.
,
1 Nov 2022
,
In:
Magnetic Resonance Imaging.
93
,
p. 33-51
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
Imaging techniques
100%
Artifacts
84%
Sampling
45%
Biomarkers
40%
Noise
40%