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Evaluation of multimodal segmentation based on 3D T1-, T2- and FLAIR-weighted images – the difficult...

Evaluation of multimodal segmentation based on 3D T1-, T2- and FLAIR-weighted images – the difficult...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1867539592

Evaluation of multimodal segmentation based on 3D T1-, T2- and FLAIR-weighted images – the difficulty of choosing

About this item

Full title

Evaluation of multimodal segmentation based on 3D T1-, T2- and FLAIR-weighted images – the difficulty of choosing

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2018-04, Vol.170, p.210-221

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

Voxel-based morphometry is still mainly based on T1-weighted MRI scans. Misclassification of vessels and dura mater as gray matter has been previously reported. Goal of the present work was to evaluate the effect of multimodal segmentation methods available in SPM12, and their influence on identification of age related atrophy and lesion detection...

Alternative Titles

Full title

Evaluation of multimodal segmentation based on 3D T1-, T2- and FLAIR-weighted images – the difficulty of choosing

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1867539592

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1867539592

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2017.02.016

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