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Non-negative matrix factorisation improves Centiloid robustness in longitudinal studies

Non-negative matrix factorisation improves Centiloid robustness in longitudinal studies

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f8adb122c9534af4aa3868725cd5b06f

Non-negative matrix factorisation improves Centiloid robustness in longitudinal studies

About this item

Full title

Non-negative matrix factorisation improves Centiloid robustness in longitudinal studies

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2021-02, Vol.226, p.117593-117593, Article 117593

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

: Centiloid was introduced to harmonise β-Amyloid (Aβ) PET quantification across different tracers, scanners and analysis techniques. Unfortunately, Centiloid still suffers from some quantification disparities in longitudinal analysis when normalising data from different tracers or scanners. In this work, we aim to reduce this variability using a d...

Alternative Titles

Full title

Non-negative matrix factorisation improves Centiloid robustness in longitudinal studies

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f8adb122c9534af4aa3868725cd5b06f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f8adb122c9534af4aa3868725cd5b06f

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2020.117593

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