Output details
15 - General Engineering
King's College London
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Output 0 of 0 in the submission
Article title
Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest
Type
D - Journal article
Title of journal
NeuroImage
Article number
N/A
Volume number
40
Issue number
2
First page of article
672
ISSN of journal
1053-8119
Year of publication
2008
Number of additional authors
6
Additional information
Authoritative segmentations of human brain images remain a critical and scarce resource in neuroscience. This is evidenced by the citation rate for our earlier work on brain atlases, despite being limited to only 49 anatomically regions (Hammers, Hum Brain Mapping, 2003, >250 citations]. With support from the EPSRC, we created a far more detailed protocol to segment adult brains into 83 regions. We then developed registration strategies to automatically segment MR images of children as young as two years and have made these available as a resource to the community (www.braindevelopment.org).
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-