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Neuroimaging feature terminology: A controlled terminology for the annotation of brain imaging features

 
: Iyappan, A.; Younesi, E.; Redolfi, A.; Vrooman, H.; Khanna, S.; Frisoni, G.B.; Hofmann-Apitius, M.

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Volltext (PDF; )

Journal of Alzheimer's disease : JAD 59 (2017), Nr.4, S.1153-1169
ISSN: 1875-8908
ISSN: 1387-2877
Englisch
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer SCAI ()

Abstract
Ontologies and terminologies are used for interoperability of knowledge and data in a standard manner among interdisciplinary research groups. Existing imaging ontologies capture general aspects of the imaging domain as a whole such as methodological concepts or calibrations of imaging instruments. However, none of the existing ontologies covers the diagnostic features measured by imaging technologies in the context of neurodegenerative diseases. Therefore, the Neuro-Imaging Feature Terminology (NIFT) was developed to organize the knowledge domain of measured brain features in association with neurodegenerative diseases by imaging technologies. The purpose is to identify quantitative imaging biomarkers that can be extracted from multi-modal brain imaging data. This terminology attempts to cover measured features and parameters in brain scans relevant to disease progression. In this paper, we demonstrate the systematic retrieval of measured indices from literature and ho w the extracted knowledge can be further used for disease modeling that integrates neuroimaging features with molecular processes.

: http://publica.fraunhofer.de/dokumente/N-464627.html