An Automatic Method for the Enrichment of DICOM metadata Using Biomedical Ontologies

被引：0

作者：

Perez, Wilson ^{[1
]}

Tello, Andres ^{[2
]}

Saquicela, Victor ^{[2
]}

Vidal, Maria-Esther ^{[4
]}

La Cruz, Alexandra ^{[3
,5
]}

机构：

[1] DIUC, Cuenca, Ecuador

[2] Univ Cuenca, Dept Comp Sci, Cuenca, Ecuador

[3] Univ Cuenca, Investigador Prometeo, Cuenca, Ecuador

[4] Univ Simon Bolivar, Dept Comp Sci, Caracas, Venezuela

[5] Univ Cuenca, Elect Elect & Telecommun Dept, Cuenca, Ecuador

来源：

2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2015年

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页码：2551 / 2554

页数：4

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