Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanks

Fecha de publicación: 01/07/2022 Fecha Ahead of Print: 01/07/2022

Autores de IIS La Fe

Leonor Cerdá Alberich

Autor

Participantes ajenos a IIS La Fe

Kondylakis, Haridimos
Ciarrocchi, Esther
Chouvarda, Ioanna
Fromont, Lauren A.
Garcia-Aznar, Jose Manuel
Kalokyri, Varvara
Kosvyra, Alexandra
Walker, Dawn
Yang, Guang
Neri, Emanuele
AIHealthImaging Working Grp Metada

Abstract

A huge amount of imaging data is becoming available worldwide and an incredible range of possible improvements can be provided by artificial intelligence algorithms in clinical care for diagnosis and decision support. In this context, it has become essential to properly manage and handle these medical images and to define which metadata have to be considered, in order for the images to provide their full potential. Metadata are additional data associated with the images, which provide a complete description of the image acquisition, curation, analysis, and of the relevant clinical variables associated with the images. Currently, several data models are available to describe one or more subcategories of metadata, but a unique, common, and standard data model capable of fully representing the heterogeneity of medical metadata has not been yet developed. This paper reports the state of the art on metadata models for medical imaging, the current limitations and further developments, and describes the strategy adopted by the Horizon 2020 ``AI for Health Imaging'' projects, which are all dedicated to the creation of imaging biobanks.

Datos de la publicación

ISSN/ISSNe:: 2509-9280, 2509-9280
Tipo:: Article
Páginas:: 29-29
DOI:: 10.1186/s41747-022-00281-1
Factor de Impacto:: 1,049 SCImago ℠
Cuartil:: Q1 SCImago ℠

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Métricas

Filiaciones

Kondylakis, Haridimos:: FORTH-ICS, Heraklion, Greece
Ciarrocchi, Esther:: Department of Translational Research, University of Pisa, Pisa, Italy.
Cerda-Alberich, Leonor:: Instituto de Investigación. Biomedical Imaging Research Group, La Fe Health Research Institute, Valencia, Spain
Chouvarda, Ioanna:: Aristotle University of Thessaloniki, Thessaloniki, Greece
Fromont, Lauren A.:: Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
Garcia-Aznar, Jose Manuel:: University of Zaragoza, Zaragoza, Spain
Kalokyri, Varvara:: Department of Translational Research, University of Pisa, Pisa, Italy
Kosvyra, Alexandra:: Aristotle University of Thessaloniki, Thessaloniki, Greece
Walker, Dawn:: Department of Computer Science and Insigneo Institute of in silico Medicine, University of Sheffield, Sheffield, UK
Yang, Guang:: National Heart and Lung Institute, Imperial College London, London, UK
Neri, Emanuele:: Department of Translational Research, University of Pisa, Pisa, Italy