Title :
Using image metadata for automatic patient staging in Lymphoma
Author_Institution :
Corp. Technol., Siemens AG, Munich, Germany
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;
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
DOI :
10.1109/IRI.2011.6009583
