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An automatic method for the enrichment of DICOM metadata using biomedical ontologies

This work is a novel contribution for enriching medical images using semantic annotations with a strategy for unifying different ontologies and instances of DICOM medical files. We present the L-MOM library (Library for Mapping of Ontological Metadata) as a tool for making an automatic mapping betwe...

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Autor Principal: La Cruz Puente, Alexandra
Formato: Artículos
Lenguaje:eng
Publicado: 2017
Materias:
BIOLOGICAL ONTOLOGY
FACTUAL DATABASE
HUMAN
Acceso en línea:http://repositorio.educacionsuperior.gob.ec/handle/28000/3880
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spelling oai:localhost:28000-38802017-04-13T08:02:27Z An automatic method for the enrichment of DICOM metadata using biomedical ontologies La Cruz Puente, Alexandra BIOLOGICAL ONTOLOGY FACTUAL DATABASE HUMAN This work is a novel contribution for enriching medical images using semantic annotations with a strategy for unifying different ontologies and instances of DICOM medical files. We present the L-MOM library (Library for Mapping of Ontological Metadata) as a tool for making an automatic mapping between instances of DICOM medical files and different medical ontologies (e.g., FMA, RadLex, MeSH). The main contributions are: i) the domain independent L-MOM library which is able to integrate DICOM metadata with ontologies from different domains; ii) a strategy to automatically annotate DICOM data with universally accepted medical ontologies, and provide values of similarity between ontologies and DICOM metadata; and iii) a framework to traverse ontological concepts that characterized clinical studies of patients registered in the framework catalog. 2017-04-12T18:02:43Z 2017-04-12T18:02:43Z 2015 article Perez, W. et al. (2015). An automatic method for the enrichment of DICOM metadata using biomedical ontologies. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". Vol. 2015. Canada. pp. 2551-2554 1557170X http://repositorio.educacionsuperior.gob.ec/handle/28000/3880 eng DOI;10.1109 closedAccess http://creativecommons.org/licenses/by-nc-sa/3.0/ec/ pp. 2551-2554
institution SENESCYT
collection Repositorio SENESCYT
biblioteca Biblioteca Senescyt
language eng
format Artículos
topic BIOLOGICAL ONTOLOGY
FACTUAL DATABASE
HUMAN
spellingShingle BIOLOGICAL ONTOLOGY
FACTUAL DATABASE
HUMAN
La Cruz Puente, Alexandra
An automatic method for the enrichment of DICOM metadata using biomedical ontologies
description This work is a novel contribution for enriching medical images using semantic annotations with a strategy for unifying different ontologies and instances of DICOM medical files. We present the L-MOM library (Library for Mapping of Ontological Metadata) as a tool for making an automatic mapping between instances of DICOM medical files and different medical ontologies (e.g., FMA, RadLex, MeSH). The main contributions are: i) the domain independent L-MOM library which is able to integrate DICOM metadata with ontologies from different domains; ii) a strategy to automatically annotate DICOM data with universally accepted medical ontologies, and provide values of similarity between ontologies and DICOM metadata; and iii) a framework to traverse ontological concepts that characterized clinical studies of patients registered in the framework catalog.
author La Cruz Puente, Alexandra
author_facet La Cruz Puente, Alexandra
author_sort La Cruz Puente, Alexandra
title An automatic method for the enrichment of DICOM metadata using biomedical ontologies
title_short An automatic method for the enrichment of DICOM metadata using biomedical ontologies
title_full An automatic method for the enrichment of DICOM metadata using biomedical ontologies
title_fullStr An automatic method for the enrichment of DICOM metadata using biomedical ontologies
title_full_unstemmed An automatic method for the enrichment of DICOM metadata using biomedical ontologies
title_sort automatic method for the enrichment of dicom metadata using biomedical ontologies
publishDate 2017
url http://repositorio.educacionsuperior.gob.ec/handle/28000/3880
_version_ 1634995199504547840
score 11,871979

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