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Journal of Imaging Informatics in Medicine

Erschienen in:

01.04.2009

A Knowledge-Anchored Integrative Image Search and Retrieval System

verfasst von: Selnur Erdal, Umit V. Catalyurek, Philip R. O. Payne, Joel Saltz, Jyoti Kamal, Metin N. Gurcan

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 2/2009

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Abstract

Clinical data that may be used in a secondary capacity to support research activities are regularly stored in three significantly different formats: (1) structured, codified data elements; (2) semi-structured or unstructured narrative text; and (3) multi-modal images. In this manuscript, we will describe the design of a computational system that is intended to support the ontology-anchored query and integration of such data types from multiple source systems. Additional features of the described system include (1) the use of Grid services-based electronic data interchange models to enable the use of our system in multi-site settings and (2) the use of a software framework intended to address both potential security and patient confidentiality concerns that arise when transmitting or otherwise manipulating potentially privileged personal health information. We will frame our discussion within the specific experimental context of the concept-oriented query and integration of correlated structured data, narrative text, and images for cancer research.

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Titel: A Knowledge-Anchored Integrative Image Search and Retrieval System
verfasst von: Selnur Erdal
Umit V. Catalyurek
Philip R. O. Payne
Joel Saltz
Jyoti Kamal
Metin N. Gurcan
Publikationsdatum: 01.04.2009
Verlag: Springer-Verlag
Erschienen in: Journal of Imaging Informatics in Medicine / Ausgabe 2/2009
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI: https://doi.org/10.1007/s10278-007-9086-8

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A Knowledge-Anchored Integrative Image Search and Retrieval System

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