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Computational methods to assess enlarged perivascular spaces - A systematic review and testing of key discriminants in a sample
Valdes Hernandez, Maria
(Principal Investigator)
Wardlaw, Joanna
(Co-investigator)
Piper, Rory J
(Student)
Wang, Xin
(Student)
Deanery of Clinical Sciences
Centre for Clinical Brain Sciences
Edinburgh Neuroscience
Edinburgh Imaging
Deanery of Molecular, Genetic and Population Health Sciences
Small Vessel Disease Research
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
1/06/12
→
13/07/12
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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.
Perivascular Space
Medicine and Dentistry
100%
Systematic Review
Medicine and Dentistry
100%
Assessment
Medicine and Dentistry
100%
Taxonomy
Biochemistry, Genetics and Molecular Biology
100%
Magnetism
Biochemistry, Genetics and Molecular Biology
100%
Brain
Neuroscience
100%
Lacune
Neuroscience
66%
Magnetic Resonance Imaging of Brain
Biochemistry, Genetics and Molecular Biology
50%
Research output
Research output per year
2013
2013
2013
1
Literature review
Research output per year
Research output per year
Towards the automatic computational assessment of enlarged perivascular spaces on brain magnetic resonance images: A systematic review
Hernández, M. D. C. V.
,
Piper, R. J.
,
Wang, X.
,
Deary, I. J.
&
Wardlaw, J. M.
,
Oct 2013
,
In:
Journal of Magnetic Resonance Imaging.
38
,
4
,
p. 774-785
12 p.
Research output
:
Contribution to journal
›
Literature review
›
peer-review
Assessment
100%
Systematic Review
100%
Perivascular Space
100%
Magnetism
100%
Taxonomy
100%