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BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities

Abstract:

Reliable quantification of white matter hyperintensities of presumed vascular origin (WMHs) is increasingly needed, given the presence of these MRI findings in patients with several neurological and vascular disorders, as well as in elderly healthy subjects.


We present BIANCA (Brain Intensity AbNormality Classification Algorithm), a fully automated, supervised method for WMH detection, based on the k-nearest neighbour (k-NN) algorithm. Relative to previous k-NN based segmentat...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.neuroimage.2016.07.018

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
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Publisher:
Elsevier Publisher's website
Journal:
NeuroImage Journal website
Volume:
141
Pages:
191-205
Publication date:
2016-07-09
Acceptance date:
2016-07-07
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
Source identifiers:
633985
Language:
English
Keywords:
Pubs id:
pubs:633985
UUID:
uuid:381e9561-85c7-4405-a72f-2d8d40015dd8
Local pid:
pubs:633985
Deposit date:
2016-07-20

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