Neonatal brain tissue classification with morphological adaptation and unified segmentation

RJ Beare; J Chen; CE Kelly; D Alexopoulos; CD Smyser; CE Rogers; WY Loh; LG Matthews; JLY Cheong; AJ Spittle; PJ Anderson; LW Doyle; TE Inder; ML Seal; DK Thompson

Journal article

Neonatal brain tissue classification with morphological adaptation and unified segmentation

RJ Beare, J Chen, CE Kelly, D Alexopoulos, CD Smyser, CE Rogers, WY Loh, LG Matthews, JLY Cheong, AJ Spittle, PJ Anderson, LW Doyle, TE Inder, ML Seal, DK Thompson

Frontiers in Neuroinformatics | Published : 2016

DOI: 10.3389/fninf.2016.00012

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Abstract

Measuring the distribution of brain tissue types (tissue classification) in neonates is necessary for studying typical and atypical brain development, such as that associated with preterm birth, and may provide biomarkers for neurodevelopmental outcomes. Compared with magnetic resonance images of adults, neonatal images present specific challenges that require the development of specialized, population-specific methods. This paper introduces MANTiS (Morphologically Adaptive Neonatal Tissue Segmentation), which extends the unified segmentation approach to tissue classification implemented in Statistical Parametric Mapping (SPM) software to neonates. MANTiS utilizes a combination of unified se..

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University of Melbourne Researchers

Jeanie Cheong Author

Alicia Spittle Author

Lex Doyle Author

Marc L Seal Author

Grants

Awarded by National Health and Medical Research Council

Funding Acknowledgements

This work was supported in part by the Australian National Health and Medical Research Council (NHMRC) (Project Grant ID 1028822; Centre of Clinical Research Excellence Grant ID 546519; Centre of Research Excellence Grant ID 1060733; Senior Research Fellowship ID 1081288 to PA; Early Career Fellowship ID 1053787 to JLYC, ID 1053767 to AS, ID 1012236 to DT), Murdoch Childrens Research Institute, Clinical Sciences Theme Grant, the Victorian Government Operational Infrastructure Support Program, The Royal Children's Hospital Foundation, National Institutes of Health (NIH) grants R01 HD05709801 (TI), UL1 TR000448 (CS and CR), K02 NS089852 (CS), and K23 MH105179 (CR), and the Mallinckrodt Institute of Radiology (CS). The funding sources had no involvement in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.