Using image metadata for automatic patient staging in Lymphoma

Author

Zillner, Sonja

Author_Institution

Corp. Technol., Siemens AG, Munich, Germany

fYear

2011

fDate

3-5 Aug. 2011

Firstpage

412

Lastpage

415

Abstract

Today, clinicians rely on medical images for screening, diagnosis, treatment planning and follow-ups. While medical images provide a wealth of information for clinicians, the content information cannot automatically be integrated into advanced medical applications, such as Clinical Decision Support. The implementation of advanced medical applications requires to enhance image metadata by formalized practical clinical knowledge sources. We introduce an application for the staging of lymphoma patients by means of automatic reasoning and integration of patients´ image metadata, medical ontologies and the formalized Ann-Arbor Staging System.

Keywords

inference mechanisms; medical image processing; meta data; ontologies (artificial intelligence); patient treatment; Lymphoma; automatic patient staging; automatic reasoning; clinical decision support; formalized Ann-Arbor Staging System; medical images; medical ontologies; patients image metadata; practical clinical knowledge source; treatment planning; Cognition; Lymph nodes; Medical diagnostic imaging; Medical services; Ontologies; Semantics;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Reuse and Integration (IRI), 2011 IEEE International Conference on

Conference_Location

Las Vegas, NV

Print_ISBN

978-1-4577-0964-7

Electronic_ISBN

978-1-4577-0965-4

Type

conf

DOI

10.1109/IRI.2011.6009583

Filename

6009583