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Automated detection of focal cortical dysplasia lesions using computational models of their MRI char...

Automated detection of focal cortical dysplasia lesions using computational models of their MRI char...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_73618340

Automated detection of focal cortical dysplasia lesions using computational models of their MRI characteristics and texture analysis

About this item

Full title

Automated detection of focal cortical dysplasia lesions using computational models of their MRI characteristics and texture analysis

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2003-08, Vol.19 (4), p.1748-1759

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

Focal cortical dysplasia (FCD), a malformation of cortical development, is a frequent cause of pharmacologically intractable epilepsy. FCD is characterized on Tl-weighted MRI by cortical thickening, blurring of the gray-matter/white-matter interface, and gray-level hyperintensity. We have previously used computational models of these characteristic...

Alternative Titles

Full title

Automated detection of focal cortical dysplasia lesions using computational models of their MRI characteristics and texture analysis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_73618340

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_73618340

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/S1053-8119(03)00226-X

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