Data-driven mapping of hypoxia-related tumor heterogeneity using DCE-MRI and OE-MRI.
Name:
Featherstone_et_al-2017-Magnet ...
Size:
883.2Kb
Format:
PDF
Description:
Full text open access article
Authors
Featherstone, Adam KO'Connor, James P B
Little, R
Watson, Y
Cheung, S
Babur, M
Williams, Kaye J
Matthews, Julian C
Parker, Geoff J M
Affiliation
Division of Informatics, Imaging & Data Sciences, The University of Manchester, Manchester, UKIssue Date
2017-08-30
Metadata
Show full item recordAbstract
Previous work has shown that combining dynamic contrast-enhanced (DCE)-MRI and oxygen-enhanced (OE)-MRI binary enhancement maps can identify tumor hypoxia. The current work proposes a novel, data-driven method for mapping tissue oxygenation and perfusion heterogeneity, based on clustering DCE/OE-MRI data.Citation
Data-driven mapping of hypoxia-related tumor heterogeneity using DCE-MRI and OE-MRI. 2017 Magn Reson MedJournal
Magnetic Resonance in MedicineDOI
10.1002/mrm.26860PubMed ID
28856728Type
ArticleLanguage
enISSN
1522-2594ae974a485f413a2113503eed53cd6c53
10.1002/mrm.26860