Work

Metadata Quality in Imaging Trials: A Knowledge Graph-Based Approach

Year: 2025

Type: book-chapter

Abstract: We present a method for transforming DICOM metadata into a knowledge graph for advanced analytics. This allows metadata quality assessment in imaging trials through custom metrics, e.g., regarding attribute completeness. Our results are of practical use for automated quality checks for multifaceted trials.

Source: Studies in health technology and informatics

DOI: 10.3233/shti250408

Authors: Alaa Bejaoui, Tim Kilgus, Heiko Tzschätzsch, Friederike Seyderhelm, Dagmar Krefting, Marc Dewey, Felix Balzer, Elias Grünewald

Institutions: Charité - Universitätsmedizin Berlin, Universitätsmedizin Göttingen, University of Göttingen

Language: English

Topic: Data Quality and Management

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: hybrid

Funder: Deutsche Forschungsgemeinschaft

Award: Guide to Data Sharing of Imaging Trials (GUIDEIT): Vorprojekt

OpenAlex ID: W4410447882

FWCI:

Cites: 2

Cited by:

Related to: 10