Document Detail

Atlas-free surface reconstruction of the cortical grey-white interface in infants.
MedLine Citation:
PMID:  22110604     Owner:  NLM     Status:  MEDLINE    
BACKGROUND: The segmentation of the cortical interface between grey and white matter in magnetic resonance images (MRI) is highly challenging during the first post-natal year. First, the heterogeneous brain maturation creates important intensity fluctuations across regions. Second, the cortical ribbon is highly folded creating complex shapes. Finally, the low tissue contrast and partial volume effects hamper cortex edge detection in parts of the brain.
METHODS AND FINDINGS: We present an atlas-free method for segmenting the grey-white matter interface of infant brains in T2-weighted (T2w) images. We used a broad characterization of tissue using features based not only on local contrast but also on geometric properties. Furthermore, inaccuracies in localization were reduced by the convergence of two evolving surfaces located on each side of the inner cortical surface. Our method has been applied to eleven brains of one- to four-month-old infants. Both quantitative validations against manual segmentations and sulcal landmarks demonstrated good performance for infants younger than two months old. Inaccuracies in surface reconstruction increased with age in specific brain regions where the tissue contrast decreased with maturation, such as in the central region.
CONCLUSIONS: We presented a new segmentation method which achieved good to very good performance at the grey-white matter interface depending on the infant age. This method should reduce manual intervention and could be applied to pathological brains since it does not require any brain atlas.
François Leroy; Jean-François Mangin; François Rousseau; Hervé Glasel; L Hertz-Pannier; Jessica Dubois; Ghislaine Dehaene-Lambertz
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2011-11-16
Journal Detail:
Title:  PloS one     Volume:  6     ISSN:  1932-6203     ISO Abbreviation:  PLoS ONE     Publication Date:  2011  
Date Detail:
Created Date:  2011-11-23     Completed Date:  2012-03-26     Revised Date:  2013-06-27    
Medline Journal Info:
Nlm Unique ID:  101285081     Medline TA:  PLoS One     Country:  United States    
Other Details:
Languages:  eng     Pagination:  e27128     Citation Subset:  IM    
INSERM, Cognitive Neuroimaging Unit, Gif sur Yvette, France.
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MeSH Terms
Cerebral Cortex*
Image Processing, Computer-Assisted / methods*
Infant, Newborn
Magnetic Resonance Imaging / methods*

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