Journal article
Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding
- Abstract:
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White matter hyperintensities (WMH) or white matter lesions exhibit high variability in their characteristics both at population- and subject-level, making their detection a challenging task. Population-level factors such as age, vascular risk factors and neurodegenerative diseases affect lesion load and spatial distribution. At the individual level, WMH vary in contrast, amount and distribution in different white matter regions. In this work, we aimed to improve BIANCA, the FSL tool for WMH...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Version of record, pdf, 5.7MB)
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- Publisher copy:
- 10.1016/j.neuroimage.2019.116056
Authors
Funding
+ National Institute for Health Research
More from this funder
Funding agency for:
Zamboni, G
Rothwell, P
Husain, M
Jenkinson, M
Griffanti, L
Grant:
206330/Z/17/Z
Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- NeuroImage Journal website
- Volume:
- 202
- Article number:
- 116056
- Publication date:
- 2019-07-31
- Acceptance date:
- 2019-07-24
- DOI:
- EISSN:
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1095-9572
- ISSN:
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1053-8119
Item Description
- Keywords:
- Pubs id:
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pubs:1036611
- UUID:
-
uuid:0b473787-4699-4644-8337-fb1dd96e249b
- Local pid:
- pubs:1036611
- Source identifiers:
-
1036611
- Deposit date:
- 2019-07-31
Terms of use
- Copyright holder:
- Elsevier
- Copyright date:
- 2019
- Notes:
- © 2019 Published by Elsevier Inc. This article is available under the terms of the Creative Commons Attribution License (CC BY).
- Licence:
- CC Attribution (CC BY)
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