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Topological correction of infant white matter surfaces using anatomically constrained convolutional...

Topological correction of infant white matter surfaces using anatomically constrained convolutional...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6602545

Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network

About this item

Full title

Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2019-09, Vol.198, p.114-124

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

Reconstruction of accurate cortical surfaces without topological errors (i.e., handles and holes) from infant brain MR images is very important in early brain development studies. However, infant brain MR images typically suffer extremely low tissue contrast and dynamic imaging appearance patterns. Thus, it is inevitable to have large amounts of to...

Alternative Titles

Full title

Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6602545

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6602545

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2019.05.037

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