DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research

DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research

Background. Imaging biomarkers hold tremendous promise for precision medicine clinical applications. Development of such biomarkers relies heavily on image post-processing tools for automated image quantitation. Their deployment in the context of clinical research necessitates interoperability with...

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Bibliographic Details
Main Authors: Andriy Fedorov, David Clunie, Ethan Ulrich, Christian Bauer, Andreas Wahle, Bartley Brown, Michael Onken, Jörg Riesmeier, Steve Pieper, Ron Kikinis, John Buatti, Reinhard R. Beichel
Format: Article
Language:English
Published: PeerJ Inc. 2016-05-01
Series:PeerJ
Subjects:
Quantitative imaging
Imaging biomarker
Imaging informatics
DICOM
PET/CT imaging
Head and neck cancer
Online Access:https://peerj.com/articles/2057.pdf

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